Courant Institute of Mathematical Sciences, New York
University, New York, NY; Dissertation Title: Negative
Feedback in Neural Networks; Prof. Charles Peskin, Major
Professor
M.S., Mathematics, October 1984
Courant Institute of Mathematical Sciences, New York
University
B.S., Mathematics, with Highest
Distinction, December 1981
University of Iowa, Iowa City, IA; Minor in Biological
Sciences (formerly Zoology)
B.S.E., Biomedical Engineering, with
Highest Distinction, May 1981
University of Iowa, Iowa City, IA
Awards:
2008
Fulbright Senior Specialist Roster, Council for International
Exchange of Scholars, Washington, DC
2001
Developing Scholar (Associate Professor
Research) Award, Florida State University, Tallahassee, FL
1988-1989
National Academy of Sciences/National Research Council
Postdoctoral Fellowship used at Mathematical Research Branch,
N.I.D.D.K., National Institutes of Health, Bethesda, MD
Academic
Positions:
Summer 2013
Visiting Professor: Université de
Toulon et du Var, Institut des Sciences de l'Ingénieur de Toulon et
du Var, Modélisation Numérique et Couplages, Toulon, France; Prof.
Sylvain Maire, Sponsor
November
2011-Present
Member of the Faculty: Graduate Program in Molecular
Biophysics, Florida State University, Institute of Molecular
Biophysics, Tallahassee, FL; Prof.
Richard Bertram, Sponsor
Summer 2007
Visiting Professor: Université de Toulon et du Var, Institut des Sciences
de l'Ingénieur de Toulon et du Var,
Modélisation Numérique et Couplages, Toulon, France; Prof. Sylvain Maire, Sponsor
Wintersemester 2005-06 - Sommersemeter 2006
Gastprofessor, Seminar für Angewandte Mathematik, Departement
Mathematik, Eidgenössische Technische Hochschule (ETH), Swiss
Federal Institute of Technology, Zürich, Switzerland; Prof. Dr.
Rolf Jeltsch, Seminar Head, Prof. Dr. Wesley Petersen, Academic
Host
2002-Present
Professor, Department of Computer Science, Florida State
University, Tallahassee, FL; Dr. Xin Yuan, Chair
Sommersemeter 2002
Gastprofessor, Institut für Scientific Computing, Universität
Salzburg, Salzburg, Austria; Prof. Dr. Peter Zinterhof,
Chair
2001-Present
Professor, Department of Chemical and Biomedical Engineering,
Florida State University, Tallahassee, FL; Dr. Michael H.
Peters, Chair (Courtesy)
1999-Present
Professor, Department of Mathematics, Florida State
University, Tallahassee, FL; Dr. Phillip Bowers, Chair
(Courtesy)
1999-Present
Professor, Department of Scientific Computing, Florida State
University, Tallahassee, FL; Dr. Max Gunzburger, Director
(Courtesy)
1999-2002
Associate Professor, Department of Computer Science, Florida
State University, Tallahassee, FL; Dr. Ted Baker, Chair
1997-1999
Director, University of Southern Mississippi/Center of Higher
Learning Naval Oceanographic Office/Programming Environment and
Training Research Program, Stennis Space Center, MS; Dr. Peter
Ranelli, Technical Director, Center of Higher Learning
1997-1999
Coordinator, Ph.D. Program in Scientific Computing and
Associate Professor of Mathematics: University of Southern
Mississippi, Hattiesburg, MS; Dr. Grayson Rayborn, Director,
School of Mathematical Sciences
1997-1999
Associate Professor, Department of Mathematics, University of
Southern Mississippi, Hattiesburg, MS; Dr. Wallace Pye, Chairman
May 1996
Visiting Professor: Dipartimento di Metodi e Modelli
Matematici per le Scienze Applicate (DMMMSA), Università degli
Studi di Padova, Padova, Italy; Prof. Renato Spigler, Sponsor
1994-1995
Adjunct Professor: Georgetown University Department of
Computer Science, Washington, D.C.; Dr. Timothy Law Snyder,
Chair
1987
Adjunct Professor: Dept. of Computer Science, Courant
Institute of Mathematical Sciences, New York University, New
York, NY
1981-1983
Graduate Fellow in Biophysics; The Rockefeller University, New
York, NY; Dr. Robert Shapley, Advisor
Other Professional Positions:
2014-Present
Guest Researcher: Laboratory for Biological Modeling, National
Institute of Diabetes, Digestive and Kidney Diseases (NIDDK),
National Institutes of Health (NIH), Bethesda, MD; Dr. Arthur
Sherman, Lab Chief
2013-Present
Faculty Appointee: Applied and Computational Mathematics
Division, Information Technology Laboratory, National Institute
of Standards and Technology (NIST), Gaithersburg, MD; Dr. Ronald
Boisvert, Division Chief
1989-1996
Research Staff Member: Center for Computing Sciences (formerly
Supercomputing Research Center), Institute for Defense Analyses,
Bowie, MD; Dr. Francis Sullivan, Director
1987-1996
NIH-NRC Research Associate/Guest Worker: Mathematical Research
Branch, National Institute of Diabetes, Digestive and Kidney
Diseases (NIDDK), National Institutes of Health (NIH), Bethesda,
MD; Dr. John Rinzel, Advisor
1996
Visiting Researcher: National Institute of Standards and
Technology, Gaithersburg, MD; Dr. Judy Devaney, Sponsor
Summer 1995
Visiting Scientist: Research Institute for Advanced Computer
Science (RIACS), NASA Ames Research Center, Moffett Field, CA;
Dr. Robert Schreiber, Sponsor
Summer 1984
Courant Institute/IBM Summer Student: Department of
Mathematical Sciences, IBM T. J. Watson Research Center,
Yorktown Heights, NY; Dr. Willard Miranker, Advisor
Summer 1983
Summer Student in Numerical Weather Prediction: NASA Goddard
Space Flight Center, Greenbelt, MD; Dr. Eugenia Kalnay and Mr.
Dean Duffy, Advisors
Professional Society Memberships:
Association for Computing Machinery (ACM)
International Association for Mathematics and Computers in
Simulation (IMACS)
Society of Industrial and Applied Mathematics (SIAM)
Society of Industrial and Applied Mathematics, Supercomputing
(SC) Activity Group
Society of Industrial and Applied Mathematics, Computational
Science and Engineering (CSE) Activity Group
Institute for Electrical and Electronic Engineers (IEEE)
Institute for Electrical and Electronic Engineers (IEEE),
Computer Society
The Speedup Society, The Swiss Forum for Grid and
High-Performance Computing
Honor Society Memberships:
Phi Beta Kappa (National Liberal Arts Honor Society), Iowa
Alpha Chapter
Tau Beta Pi (National Engineering Honor Society), Iowa Beta
Chapter
Upsilon Pi Epsilon (International Honor Society for the
Computing and Information Disciplines), Florida State University
Chapter
Other Honors:
2011-Present
Distinguished Scientist, Association for Computing Machinery (ACM) 2009-Present
Senior
Member, Association for Computing Machinery (ACM)
2005-Present
Member,
Board of Directors, International Association for Mathematics and
Computers in Simulation (IMACS) 2005-Present
Member,
Technical Committee on Monte Carlo Methods, International
Association for Mathematics and Computers in Simulation (IMACS) 2004-Present
Marquis
Who's Who, Who's Who in Computational Science and Engineering
1999-Present
Society of
Industrial and Applied Mathematics (SIAM) Visiting Lecturer 1986-1987 New
York
University, College of Arts and Science, New York, NY, Dean's
Dissertation Fellowship 1983-1984 New
York
University, Courant Institute of Mathematical Sciences, New
York, NY, Computational Fluid Dynamics Fellowship
Computational Science and Applications: Fast
deterministic and stochastic numerical algorithms for
computational materials science; computational biophysics;
computational neuroscience; computational electrostatics;
computational nanotechnology
Computer Science: Parallel and distributed computing
system software; commodity-off-the-shelf cluster computing;
cryptography and computer security; computational number theory;
derandomization of probabilistic algorithms; probabilistic
algorithms for quantum computers
Mathematical Biology: Numerical methods for neuronal
modeling; reaction-diffusion equations; fast methods for
branching nerve equations; particle methods; computational
neuroscience; computational methods in biochemistry
Monte Carlo Methods: Monte Carlo methods for partial
differential equations; quasi-Monte Carlo methods for
eigenproblems; first- and last-passage algorithms; applications
to materials, biology, physics, and parallel computing
Numerical Analysis: Deterministic particle and random
gradient methods for reaction-diffusion equations; numerical
integration; numerical linear algebra; graph partitioning;
pseudo- and quasi random number generation
Parallel/Distributed/Grid Computing: Scalable
pseudorandom number generation; scalable quasirandom number
generation; parallel Monte Carlo and quasi-Monte Carlo methods;
methods for parallel domain decomposition; validation of
volunteered computation; Grid-based infrastructures for Monte
Carlo
Random Number Generation: Splitting and
parameterization methods for parallel computing; SIMD and MIMD
parallel testing and implementation; ASCI-class random numbers;
quasirandom number generation; fast scrambling techniques
quasirandom numbers
Software Engineering: Scalable libraries for
pseudorandom number generation, numerical libraries; efficient
and portable implementations; scalable libraries for quasirandom
number generation; robust distributed/Grid infrastructure for
Monte Carlo applications; validation of Grid computing
Books:
A.
Rasulov,
M. Mascagni, G. Raimova, (2006), Monte
Carlo Methods for the Solution of
Linear and Nonlinear Boundary Value
Problems, University
of World Economics and Diplomacy Press, Tashkent,
Uzbekistan, (in English), 347 pages. This monograph
focuses on the development and analysis of Monte Carlo
methods for partial differential equations and integral
equations. Besides presenting results for linear
problems, a considerable amount of time is spent on
nonlinear problems, usually through their integral equation
representations.
Refereed Chapters in Edited Volumes:
Y. Li and M. Mascagni (2006), "An Overview of Grid-Based Monte
Carlo Computing," Grid Technologies, Emerging from Distributed
Architectures to Virtual Organizations, WIT Press, ISBN:
978-1-84564-055-2, M. P. Bekakos, G. A. Gravvanis and H. R.
Arabnia, editors, pp. 391-421. This paper provides an
overview of computational infrastructure for parallel,
distributed, and Grid-based Monte Carlo computations. The
starting point is the Scalable Parallel Random Number Generators
(SPRNG) Library, and its uses for parallel and distributed Monte
Carlo, and the discussion continues with a description of our
Grid-Computing Infrastructure for Monte Carlo Applications
(GCIMCA), and an extension of this point-of-view to
workflows. The paper then continues with consideration of
quasi-Monte Carlo and the differences that arise in computing in
this manner on the Grid with quasirandom numbers. The work
concludes with a summary and many open problems.
C.-O. Hwang, J. A. Given, and M. Mascagni (2004), "First- and
Last-Passage Algorithms for Diffusion Monte Carlo," New Vistas in Statistical Physics: Applications in
Econophysics, Bioinformatics, and Pattern Recognition,
L. T. Wille, editor, Springer Verlag: Berlin/New York,
pp. 47-65. This invited review paper summarizes
first- and last-passage methods developed by our research
group for solving problems in electrostatics, material
science, and biochemistry.
C.-O. Hwang, M. Mascagni and N.
A. Simonov (2003), Monte Carlo Methods for the Linearized
Poisson-Boltzmann Equation, Advances in Numerical Analysis,
Nova Science Publishers, Inc., Hauppauge, NY, 20
pages. This paper reviews several methods for the solution
of the linear Poisson-Boltzmann equation via Monte Carlo
methods. In addition, the effectiveness of the various
methods are illustrated on several examples. Finally, one
of the methods is applied to a complex application where the
solution is used in a biochemical setting. The
Poisson-Boltzmann equation is becoming more important in
applications where biomolecules are studied in solution.
M. Mascagni (2003), "Random
Number Generation," in CRC Standard Mathematical Tables
and Formulae 31st Edition, D. Zwillinger, editor,
Chapman and Hall/CRC, Boca Raton, pp. 644-649. This
invited chapter gives a review of the use of pseudorandom
numbers to produce uniform real and integer variables and how
to transform them into nonuniform distribution. The
volume where this chapter appears is a widely used reference
for Mathematics and computational technique.
M. Mascagni (2003), "Deterministic Monte Carlo Methods and
Parallelism," Sourcebook on Parallel Computing, J.
Dongarra, I. Foster, F. Fox, W. Gropp, K. Kennedy, L. Torcson,
and A. White, editors, Morgan Kaufman Publishers, San Francisco,
pp. 249-258.This invited review of parallel
quasi-Monte Carlo methods provides an overview of the subject
and some new results for single eigenvalue computations.
This work is part of the summary document to be produced by the
NSF funded Center for Research in Parallel Computing.
A. Srinivasan, D. M. Ceperley, and M. Mascagni (1999), "Random
Number Generators for Parallel Applications," in Monte Carlo
Methods in Chemical Physics, D. M. Ferguson, J. I.
Siepmann, and D. G. Truhlar, editors, Advances in Chemical
Physics Series, Volume 105, John Wiley and Sons, New York,
pp. 13-36. This invited review presents an overview of
parallel random number generation and the SPRNG library for the
Monte Carlo community working in Physical Chemistry and
Molecular Physics.
M. Mascagni (1999), "Serial
and Parallel Random Number Generation," in Quantum Monte
Carlo in Physics and Chemistry, P. Nightingale and C.
Umrigar, editors, Springer-Verlag: New York, Berlin, pp.
277-288. This invited review presents an
overview of parallel random number generation and the SPRNG
library for the Quantum Monte Carlo community. This paper
was presented at the NATO Advanced Study Institute on Quantum
Monte Carlo Methods in Physics and Chemistry.
M. Mascagni (1997), "Some Methods of Parallel Pseudorandom
Number Generation," in Algorithms
for Parallel Processing, R. Schreiber, M. Heath and A.
Ranade editors, Springer Verlag: New York, Berlin, pp.
277-288. This invited review presents the discrete
mathematics and number theory behind the use of parameterized
pseudorandom number generators in parallel. This paper
was presented at the Institute for Mathematics and Its
Applications during a special year in High Performance Computing
Workshop on Algorithms for Parallel Processing.
M. Mascagni and A. Sherman
(1996), "Numerical Methods for Neuronal Modeling," in Methods
of Neuronal Modeling: From Ions to Networks, Second Edition,
C. Koch and I. Segev editors, MIT Press: Cambridge,
Massachusetts, pp. 569-606. This invited review is a
second edition update of the review done in 1989 that is
listed below.
M. Mascagni (1996), "Parallel
Wiener Integral Methods for Elliptic Boundary Value Problems:
A Tale of Two Architectures," in Applications on Advanced
Architecture Computers. This invited chapter looks
at SIMD and MIMD implementations of random walk based Monte
Carlo algorithms for the solution of elliptic boundary value
problems.
M. Mascagni (1996), "Random
Number Generation," in CRC Standard Mathematical Tables
and Formulae 30th Edition, D. Zwillinger, editor, pp.
593-598. This invited chapter gives a review of the use
of pseudorandom numbers to produce uniform real and integer
variables and how to transform them into nonuniform
distribution. The volume where this chapter appears is a
widely used reference for Mathematics and Computational
technique.
M. Mascagni (1989), "Numerical
Methods for Neuronal Modeling," in Methods of Neuronal
Modeling: From to Networks to Ions, C. Koch and I. Segev
editors, MIT Press: Cambridge, pp. 439-484. This invited
chapter reviews numerical methods for the solution of problems
that arise in the quantitative simulation of the nervous
system. It presents finite-difference methods for the
solution of ordinary and partial differential equations that
arise, as well as methods for solving neural network type
systems. This chapter was based on material the author
developed for the Methods in Computational Neuroscience course
taught at the Marine Biological Laboratory for four summers.
Refereed International Journal Papers:
A. Aljahdali and M. Mascagni (2017), "Feistel-inspired
Scrambling Improves the Quality of Linear Congruential
Generators," Monte Carlo Methods and Applications, in
the press, 11 pages. This paper evaluates a
permutation-based scrambling technique inspired by techniques
popular in cryptography. It uses a Feistel function, and
is shown to dramatically improve the output of linear
congruential random numbers.
T. D. Anderson and Michael Mascagni (2015), "Memory Efficient
Lagged-Fibonacci Random Number Generators for GPU
Supercomputing," Monte Carlo Methods and Applications, 21(2):
163-174. In this paper, we discuss our implementation of
memory efficient, integer, cycle-split, additive and
multiplicative LFGs for both CUDA and OpenCL. The latter LFG has
been implemented neither for GPUs nor as a cycle-split parallel
generator before. We also discuss portability and
reproducibility between CPUs and GPUs.
Y.-W. Jung and Michael Mascagni (2014), "Constriction Model of
Actomyosin Ring for Cytokinesis by Fission Yeast using a
Two-state Sliding Filament Mechanism," Journal of Chemical Physics, 141:
125101, 14 pages. In this paper we develop a model
describing the structure and contractile mechanism of the
actomyosin ring in fission yeast, Schizosaccharomyces pombe. The
proposed ring includes actin, myosin, and alpha-actinin, and is
organized into a structure similar to that of muscle sarcomeres.
M. Mascagni, Y. Qiu, L.-Y. Hin (2014), "High performance
computing in quantitative finance: A pseudo-random number
generator perspective," Monte
Carlo Methods and Applications, 20(2):
101-120. This paper studies different PPRNGs strategies,
comparing their performance in statistical tests and
application-based tests. It then considers the potential
impact of inter-thread correlation and intra-thread correlation
in different computational finance applications are considered
on a contextual basis, and then RNG recommendations are made
based on the needs of computational finance.
M. Mascagni, L.-Y. Hin (2013), "Parallel Pseudo-Random Number
Generators: A Derivative Pricing Perspective with the Heston
stochastic volatility model," Monte
Carlo Methods and Applications, 19:
77-105. We use application-based tests designed to mimic
real-life MC scenarios in computational finance using the Heston
stochastic volatility model, a widely used pricing framework.
We use this to compare the accuracy and precision
profiles among four popular libraries of scalable pseudo-random
number generators trng,
RngSteam, SPRNG, and Random123. All
pseudo-random number generators assessed demonstrate similar
standard-error of mean profiles. However, the bias
profiles are more varied albeit comparable.
H. Ji, M. Mascagni and Y. Li (2013), "Convergence Analysis of
Markov Chain Monte Carlo Linear Solvers using Ulam-von Neumann
Algorithm," SIAM Journal
on Numerical Analysis, 51(4): 2107-2122.
This paper looks at the Ulam-von Neumann Monte Carlo
algorithm for solving linear systems via the Neumann series.
We provide new necessary and sufficient conditions for
convergence based on an analysis of the transition probability
matrix that defines the underlying Markov chain. We also
demonstrate the theory with small, but illustrative examples.
T. Mackoy, R. C. Harris, J. Johnson, M. Mascagni and M. O.
Fenley (2013), "Numerical Optimization of a Walk-on-Spheres
Solver for the Linear Poisson-Boltzmann Equation," Communications in Computational
Physics, 13:
195-206. This paper continues the development of a
stochastic walk-on-spheres algorithms for solving the linear
Poisson-Boltzmann equation (LPBE). It demonstrates a
series of numerical optimizations that collectively make the
computational time of these Monte Carlo LPBE solvers competitive
with deterministic methods. The
optimization techniques used are to ensure that each atom's
contribution to the variance of the electrostatic solvation free
energy is the same, to optimize the bias-generating parameters
in the algorithm, and to use an epsilon-approximate rather than
exact nearest-neighbor search when determining the size of the
next step in the Brownian motion when outside the molecule.
M. Mascagni and L.-Y. Hin (2012), "Parallel Random Number
Generators in Monte Carlo Derivative Pricing: An
Application-Based Test," Monte
Carlo Methods and Applications, 18: 161-179. This
paper uses the computation of a European call option, that has a
analytic solution, as the basis of testing parallel random
numbers generators. We took parallel generators based on
the RngStream, TRNG, and SPRNG and computed the mean and
standard error of the price of the option by integrating a
stochastic differential equation using the Euler-Maruyama
method. We formed the statistics by combining samples from
the same parallel streams and from different parallel streams as
a way to gauge intra- and inter-stream correlations. The
SPRNG library produced the best results.
A. Rasulov, G. Raimova and M. Mascagni (2010), "Monte Carlo
solution of Cauchy problem for a nonlinear parabolic equation,"
Mathematics and Computers in
Simulation, 80(6):
1118-1123. This paper presents a Markov chain-based
algorithm for solving the pure initial-value problem for a class
of nonlinear parabolic equations. The nonlinearity is
dealt with with a branching Markov chain, and numerical results
are presented as further evidence of efficacy.
C.-O. Hwang, M. Mascagni and T. Won (2010), "Monte Carlo
Methods for Computing the Capacitance of the Unit Cube: A
Review," Mathematics and Computers in Simulation, 80(6): 1103-1109. This
paper reviews Monte Carlo methods for computing the capacitance
of the unit cube to high accuracy. Based on this, the
walk-on-planes (WOB) and walk-on-the-boundary (WOB) methods are
analyzed for their computational efficiency. WOB is found
to be superior and is subsequently used to provide a more
accurate, and confirmatory, numerical result.
J. Tabak, M. Mascagni and R. Bertram (2010), "Mechanism for
the Universal Pattern of Activity in Developing Neuronal
Networks," Journal of Neurophysiology,1023: 2208-2221. This paper looks at
general mechanism for activity in purely excitable networks.
The duration of an episode of activity correlates with the
length of the silent interval that precedes it, but not with the
interval that follows. We use a modeling approach to explain
this characteristic but so far unexplained feature of developing
networks. We thus developed simple models incorporating
excitatory coupling between heterogeneous neurons and
activity-dependent synaptic depression. These models robustly
generated episodic activity with the correct correlation
pattern. The correlation pattern resulted from episodes being
triggered at random levels of recovery from depression while
they terminated around the same level of depression. To explain
this fundamental difference between episode onset and
termination, we then used a mean field model, where only average
activity and average level of recovery from synaptic depression
are considered. In this model, episode onset is highly sensitive
to inputs. Thus, noise resulting from random coincidences in the
spike times of individual neurons led to the high variability at
episode onset and to the observed correlation pattern.
M. Fenley, M. Mascagni, J. McClain, A. Silalahi and N. Simonov
(2010), "Using Correlated Monte Carlo Sampling for Efficiently
Solving the Linearized Poisson-Boltzmann Equation Over a Broad
Range of Salt Concentrations," Journal of Chemical Theory and Computation, 6(1): 300-314. This paper
uses the Monte Carlo technique of the authors to simultaneously
solve a boundary-value problem system in biochemical
electrostatics over a wide range of external solvent ionic
concentrations. This is accomplished by using a single
(longest) random walk, and processing it to be appropriate to
sample different solvent concentrations. The correlation
allows us to compute differences of computed quantities with
high accuracy despite the use of Monte Carlo.
M. Mascagni and H. Yu (2009), "Scrambled Soboĺ Sequences via Permutation," Monte
Carlo Methods and Applications, 15(4): 311-333. This paper describes a
general, bit-wise, scrambling technique that is first applied to
the Soboĺ Sequence.
Bits from an unscrambled Soboĺ Sequence are scrambled by
choosing a random permutation based on the number of bits chosen
for scrambling. The scrambled results are very good, and
this technique has been incorporated in to the SPRNG software
architecture.
Y.-W. Jung, B. Lu and M. Mascagni (2009), "A Computational
Study of Ion Conductance in the KcsA K+ Channel Using
a Nernst-Planck Model with Explicit Resident Ions," Journal
of Chemical Physics, 131: 215101.
This
paper
studies
the
potassium conductance of the KcsA channel using the
Nernst-Planck equation to model the electrostatic environment
inside the ion channel. The real channel actually has many
K + ions transiting simultaneously, and this
paper takes that into account as well.
Y. Li, M. Mascagni and A. Gorin (2009), "A Decentralized
Parallel Implementation for Parallel Tempering Algorithm," Parallel
Computing, 35(5):
269-283. This paper discusses parallel Tempering (PT),
also known as Replica Exchange, which is a powerful Markov Chain
Monte Carlo sampling approach which aims at reducing the
relaxation time in simulations of physical systems. In this
paper, we present a novel implementation of PT, so-called
decentralized replica exchange PT, using MPI and the Scalable
Parallel Random Number Generators (SPRNG) libraries. By
adjusting the replica exchange operations in the original PT
algorithm, and taking advantage of the characteristics of
pseudorandom number generators, this implementation minimizes
the overhead caused by interprocessor communication in replica
exchange in PT. This enables one to efficiently apply PT to
large-scale massively parallel systems. The efficiency of this
implementation has been demonstrated in the context of various
benchmark energy functions.
N. Simonov, M. Mascagni and M. O. Fenley (2007), "Monte Carlo
Based Linear Poisson-Boltzmann Approach Makes Accurate
Salt-Dependent Solvation Free Energy Predictions Possible," Journal
of Chemical Physics, 127: 18505. This paper
uses Monte Carlo techniques developed by the authors to make
computations of the solvation free energy over a wide range of
salt concentrations. The problems solved involve the
implicit solvent model, Poisson-Boltzmann equation, and the
results obtained agree with other computational results as well
as experimental results. In addition, these computations
explicitly benefit from another advantage of using Monte Carlo
in these computations, the ability to use a single simulation to
compute the energies at all of the different salt
concentrations.
Y. Li and M. Mascagni (2005), "Grid-based Quasi-Monte Carlo
Applications," Monte Carlo Methods and Applications, 11:
39-55. This paper presents preliminary results on
extending the Grid-based Monte Carlo services to quasi-Monte
Carlo. Experiments using scrambled quasirandom numbers are
also presented.
H. Chi, M. Mascagni, and T. Warnock (2005), "On the Scrambled
Halton Sequence," Mathematics and Computers in Simulation,
70(1): 9-21. This paper analyzes the
two-dimensional correlations in the Halton sequence, and based
on this analysis presents a new way to find an optimal
scrambling (derandomization) of the Halton sequence. The
efficacy of this new scrambling is numerically demonstrated to
be far superior to the unscrambled Halton sequence on a very
difficult high-dimensional integral. This paper is joint
with Tony Warnock, a Halton student.
M. Mascagni and N. A. Simonov (2004), "Monte Carlo Methods for
Calculating Some Physical Properties of Large Molecules," SIAM
Journal
on Scientific Computing, 26(1):339-357.
This
paper
carefully
presents
a
Monte Carlo algorithm for computing the solution of an internal
Poisson and external linearized Poisson-Boltzmann problem for
molecular geometries. An analysis of the Monte Carlo
estimators is given, as well as a detailed computational
complexity analysis. Finally, a simple problem involving
two spherical molecules is solved with the methods described in
the paper.
M. Mascagni and H. Chi (2004), "Parallel Linear Congruential
Generators with Sophie-Germain Moduli," Parallel Computing,
30: 1217-1231. This paper considers the use of
Sophie-Germain primes, primes of the form m=2p+1 where p is also
prime, for use in parameterized linear congruential
generators. It is shown that this choice minimizes
initialization time, maximizes the number of streams for a given
prime modulus, and provides fast generation when particular
Sophie-Germain moduli are used.
A. Karaivanova, M. Mascagni and N. Simonov (2004), "Parallel
Quasirandom Walks on the Boundary," Monte Carlo Methods and
Applications, 10: 311-320. This paper studies
the us of quasirandom numbers in the solution problems using the
"random walk on the boundary" Monte Carlo algorithm. The
analysis and numerical results show that a small but significant
improvement in convergence rate is seen over traditional Monte
Carlo on this algorithm.
M. Mascagni and H. Chi (2004), "On the Scrambled Halton
Sequence," Monte Carlo Methods and Applications, 10:
435-442. This paper analyzes the two-dimensional
correlations in the Halton sequence, and based on this analysis
presents a new way to find an optimal scrambling
(derandomization) of the Halton sequence. The efficacy of
this new scrambling is numerically demonstrated to be far
superior to the unscrambled Halton sequence on a very difficult
high-dimensional integral.
Y. Li, M. Mascagni, R. van Engelen and Q. Cai (2004), "A Grid
Workflow-Based Monte Carlo Simulation Environment," Neural
Parallel and Scientific Computations, 12:
439-454. This paper takes our previous work on grid
services for Monte Carlo and views these services in a workflow
setting.
N. A. Simonov and M. Mascagni (2004), "Random Walk Algorithms
for Estimating Effective Properties of Digitized Porous Media,"
Monte Carlo Methods and Applications, 10:
599-608. This paper describes a Monte Carlo method for
permeability calculations in complex digitized porous
structures. The results of computational experiments for
some random models of porous media confirm the log-normality
hypothesis for the permeability distribution.
A. Rasulov, A. Karaivanova and M. Mascagni (2004),
"Quasirandom in Branching Random Walks," Monte Carlo Methods
and Applications, 10: 551-558. This paper
studies the effects of using quasirandom numbers in the
generation of branching walks used to solved certain nonlinear
boundary-value problems. A slight improvement in
convergence rate is seen.
M. Mascagni and N. A. Simonov (2004), "The Random Walk on the
Boundary Method for Calculating Capacitance," Journal of
Computational Physics, 195(2): 465-473. This paper
describes the random walk on the boundary Monte Carlo method,
and applies it to the calculation of the capacitance of the unit
cube. This calculation is the most accurate known.
C.-O. Hwang and M. Mascagni (2004), "Electrical Capacitance of
the Unit Cube," Journal of Applied Physics, 95(7):
3798-3802.
This paper presents a new computation of the capacitance of the
unit cube using a first-passage variant based on walks on
planes. The computed results are consistent with our
previous computations, and has a slightly smaller set of error
bars.
M. Mascagni and A. Srinivasan (2004), "Parameterizing Parallel
Multiplicative Lagged-Fibonacci Generators," Parallel
Computing, 30: 899-916. This paper shows how
to parameterize full-period multiplicative lagged-Fibonacci
generators via the seed, and then how to use this to produce a
parallel version of the generator. This generator is now
used in the SPRNG library.
C.-O. Hwang and M. Mascagni (2003), "Analysis and Comparison
of Green's Function First-Passage Algorithms with "Walk on
Spheres" Algorithms," Mathematics and Computers in
Simulation, 63: 605-613. This paper
shows that the Green's function first-passage (GFFP) algorithm
is always more efficient that the "walk on spheres" algorithm
for solving elliptic PDEs. In addition, the complexity of
GFFP is analyzed.
M. Mascagni and C.-O. Hwang (2003), "e-Shell
Error
Analysis
of
Walk on Spheres Algorithms," Mathematics and
Computers in Simulation, 63: 605-613. This
paper provides analytic and empirical evidence that the error
associated the the e-shell used in Walk
on Spheres algorithms is linear in e.
This result motivates the preferential usage of the Green's
function first-passage method over Walk on Spheres when
both are applicable.
C.-O. Hwang, M. Mascagni and J. A. Given (2003), "A
Feynman-Kac Path-Integral Implementation for Poisson's Equation
Using an h-conditioned Green's Function," Mathematics
and Computers in Simulation, 62: 347-355.
This paper presents a new random walk method for solving the
Poisson equation using the Feynman-Kac formula using only a
small number of points in a Brownian trajectory.
Y. Li and M. Mascagni (2003), "Analysis of Large-scale
Grid-based Monte Carlo Applications," International
Journal of High Performance Computing Applications(IJHPCA),
17(4): 369-382. This paper provides an overview of
the M-out-of-N technique for Grid-based Monte Carlo. Also,
methods for producing trustworthy Monte Carlo computations are
presented.
A. Srinivasan, M. Mascagni, and D. Ceperley (2003),
"Testing Parallel Random Number Generators," Parallel
Computing, 29: 69-94. This paper provides a
mathematical framework for testing parallel random number
generators and also motivates the construction of the SPRNG test
suite. In addition, results from extensive parallel
testing of multiplicative lagged-Fibonacci generators,
candidates for SPRNG, are presented.
J. A. Given, C.-O. Hwang and M. Mascagni (2002), "First- and
last-passage Monte Carlo algorithms for the charge density
distribution on a conducting surface," Physical Review E,
66, 056704, 8 pages. This paper presents two new
Monte Carlo algorithms based on the concept of "last-passage"
diffusion. These methods are compared with each other and
with the best first-passage algorithm for computing the charge
density on a circular disk held at unit potential.
C.-O. Hwang, J. A. Given and M. Mascagni (2001), "The
Simulation-Tabulation Method for Classical Diffusion Monte
Carlo," Journal of Computational Physics, 174: 925-946.This paper shows how simulated Green's functions,
simulation-tabulation, can be used to augment our Green's
function first-passage Monte Carlo method. The utility of
simulation-tabulation is verified by solving problems from
materials science and biochemistry.
M. Mascagni, A. Karaivanova and
Y. Li (2001), "A Quasi-Monte Carlo Method for Elliptic Partial
Differential Equations," Monte Carlo Methods and
Applications, 7: 283-294. This paper
presents new bounds on errors associated with the use of
quasirandom numbers in Markov chain-based methods for the
solution of elliptic partial differential equations.
C.-O. Hwang, M. Mascagni and J.
A. Given (2001), "Rapid Diffusion Monte Carlo Algorithms for
Fluid Dynamic Permeability," Monte Carlo Methods and
Applications, 7: 213-222. This paper uses
our Green's function first-passage Monte Carlo method
to compute the permeability of a wide class of porous media
models considerably extending our previous results.
C.-O. Hwang and M.
Mascagni (2001), "Efficient Modified Walk on Spheres Algorithm
for the Linearized Poisson-Boltzmann Equation," Applied
Physics Letters, 76: 787-789. This paper
presents an improved method for using the Feynman-Kac formula
as the basis for a Monte Carlo algorithm to solve the
linearized Poisson-Boltzmann equation. This is
accomplished with a new probability that is used to terminate
random walks in the linearized Poisson-Boltzmann case.
M. Mascagni and A. Karaivanova (2000), "Matrix Computations
Using Quasirandom Sequences," Springer Verlag Lecture Notes in Computer
Science, 1988: 552-559. This paper
presents new methods and error bounds for using quasi-Monte
Carlo methods for computing eigenvalues of large, sparse
matrices.
M. Mascagni and A. Srinivasan
(2000), "Algorithm 806: SPRNG: A Scalable Library for
Pseudorandom Number Generation," ACM Transactions on
Mathematical Software, 26: 436-461. This
paper describes the SPRNG library and gives an overview of the
mathematical foundation for the random number generators in
SPRNG, the computational techniques used in parallelization,
the randomness testing suite in SPRNG, and shows how the
library can be used to provide reliable and reproducible
parallel Monte Carlo computations. SPRNG is the first
library of its kind.
C.-O. Hwang, J. A. Given and M. Mascagni (2000), "On the Rapid
Calculation of Permeability for Porous Media Using Brownian
Motion Paths," Physics of Fluids, 12:
1699-1709. This paper derives
our Green's function first-passage Monte Carlo method
and applies it to the computation of the fluid permeability of
porous media made up of overlapping and nonoverlapping monosized
spheres. This new method is the fastest method known for
doing these kinds of calculations.
M. Mascagni (1998), "High-Performance Monte Carlo Tools," IEEE
Computational
Science and Engineering, 5(2): 97-98. This
article summarizes the state-of-the-art forhigh-performance
Monte Carlo tools.
M. Mascagni (1998), "Parallel
Linear Congruential Generators with Prime Moduli," Parallel
Computing,
24: 923-936. This paper derives a method for
parameterizing primitive roots modulo a prime and uses this as
the basis for providing parallel linear congruential random
numbers. In addition, an efficient algorithm for finding
the ith integer relatively prime to given, factored,
integer is presented.
M. Mascagni, M. L. Robinson, D.
V. Pryor and S. A. Cuccaro (1995), "Parallel Pseudorandom
Number Generation Using Additive Lagged-Fibonacci Recursions",
Springer Verlag Lecture Notes in Statistics, 106:
263-277. This paper proves bounds on exponential sum
bounds used to estimate the cross-correlation between
different random number streams produced using our
parallelization of additive lagged-Fibonacci generators.
M. Mascagni, S. A. Cuccaro, D.
V. Pryor and M. L. Robinson (1995), "A Fast, High Quality, and
Reproducible Parallel Lagged-Fibonacci Pseudorandom Number
Generator", Journal of Computational Physics, 119:
211-219. This paper presents a novel parameterization of
additive lagged-Fibonacci generators based on seeding.
This approach is used as the basis of providing a parallel
version of this generator that requires no interprocessor
communication while assuring that different processors get
distinct random number streams.
A. Sherman and M. Mascagni
(1994), "A Gradient Random Walk Method for Two-Dimensional
Reaction-Diffusion Equations'', SIAM Journal on Scientific
Computing, 15: 1280-1293. This paper
presents and analyzes a Monte Carlo method for solving
two-dimensional reaction-diffusion equations. The method
is related to the random vortex method for the two-dimensional
incompressible Navier-Stokes equations, and the paper also
presents numerical evidence of it's effectiveness.
M. Mascagni (1991), "A
Parallelizing Algorithm for Computing Solutions to Arbitrarily
Branched Neuron Models," Journal of Neuroscience Methods,
36: 105-114. This paper presents a parallel
algorithm for solving coupled, branching, one-dimensional
nonlinear reaction-diffusion equations based on
finite-difference methods. These kinds of equations
arise in the realistic modeling of the nervous system.
M. Mascagni (1991),
"High-Dimensional Numerical Integration and Massively Parallel
Computing," Contemporary Mathematics, 115: 53-73.
This
paper
presents
parallel
data-parallel
methods for doing deterministic and Monte Carlo
high-dimensional numerical integration using parallel prefix
methods. In addition, data-parallel techniques for Monte
Carlo solution of partial differential equations based on
random walks is presented along with numerical examples
performed on the CM-2 massively parallel computer.
M. Mascagni (1990), "The
Backward Euler Method for Numerical Solution of the
Hodgkin-Huxley Equations of Nerve Conduction," SIAM
Journal on Numerical Analysis, 27: 941-962.
This method analyzed the convergence of the backward Euler
method for the finite-difference solution of the Neumann
initial-boundary value problem for the Hodgkin-Huxley
equations of nerve conduction. Convergence is proved
with the help of derived a priori bounds for solutions
to the nonlinear difference equations.
M. Mascagni (1990), "In
Initial-Boundary Value Problem of Physiological Importance for
Equations of Nerve Conduction," Communications on Pure and
Applied Mathematics, 42: 213-227. The
paper proves well-posedness in the sense of Hadamard for the
Neumann initial-boundary value problem for the Hodgkin-Huxley
equations of nerve conduction. In addition, a priori
bounds on the solution of this nonlinear system of partial
differential equations.
M. Mascagni (1989),
"Animation's Role in Mathematically Modeling the Nervous
System," Iris Universe, Winter 1989:
6-18. This paper presents computational results obtained
in the numerical modeling of a ring of Hodgkin-Huxley neurons
with passive dendritic segments. In particular, a
presentation level visualization of the results is presented
as well as a discussion of new visualization tools that allow
rapid qualitative analysis of the large data sets produced in
realistic neural modeling.
M. Mascagni and W. L. Miranker
(1985), "Arithmetically Improved Algorithmic Performance," Computing,
35: 153-175. This paper presents theoretical and
numerical evidence that numerical algorithms sensitive to
numerical accuracy can be significantly improved by using
augmented floating-point arithmetic to exactly compute inner
products. This augmented arithmetic was implemented in
hardware in IBM 370 series mainframe with the ACRITH product.
W. L. Miranker, M. Mascagni,
and S. Rump (1985), "Case Studies for Augmented Floating-Point
Arithmetic," Lecture Notes in Computer Science,235:
86-118. This paper provides numerical examples from
poorly posed problems arising from finite-difference solutions
of ordinary and partial differential equations, and numerical
linear algebra to motivate the use of augmented
floating-point arithmetic to exactly compute inner products.
Invited International Publications:
M. Mascagni (1999), "Parallel Pseudorandom Number Generation,"
SIAM News, August, pp. 1,8-10. This article
provides a general presentation of the mathematical and
computational underpinnings of parallel random number
generation. In particular, the problem of parallel
reproducibility and the solution of parameterized random number
generations id discussed.
M. Mascagni (1990), "Parallel
Wiener Integral Methods for Elliptic Boundary Value Problems:
A Tale of Two Architectures," SIAM News, July,
pp. 27-33. This article looks at SIMD and MIMD
implementations of random walk based Monte Carlo algorithms
for the solution of elliptic boundary value problems. It
was reprinted as item 6 among the refereed book chapters,
above.
Refereed International Conference Papers:
D. Juba, W. Keyrouz, M. Mascagni, M. Brady (2016),
"Acceleration and Parallelization of ZENO/Walk-on-Spheres," Procedia
Computer Science, 80: 269-278. This was an
accepted paper in the International Conference on
Computational Science 2016 (ICCS 2016). In this paper we
outline the single node optimization of the computational
geometry primitives needed in a walk on spheres solver called
ZENO from NIST. We also investigate the parallelization of
this Monte Carlo algorithm. The overall improvement in
single node performance over the original code is over a factor
of 1000, and we also show good weak and strong scalability.
Z. Xu, W. Yu, C. Zhang, B. Zhang, M. Lu, M. Mascagni (2016),
"A Parallel Random Walk Solver for the Capacitance Calculation
Problem in Touchscreen Design," Great Lakes Symposium on VLSI
2016, Boston, MA, in the press, 6 pages. In this
paper we present a random walk based solver which calculates the
capacitances for verifying touchscreen design. To suit the
complicated conductor geometries in touchscreen structures, we
extend the floating random walk (FRW) method for handling
non-Manhattan conductors. The parallel algorithm is
implemented on a computer cluster, and numerical experiments
validate the accuracy of proposed techniques and demonstrate a
67X parallel speedup.
M. Mascagni and J. Ren (2008), "New Development in the
Scalable Parallel Random Number Generator (SPRNG) Library," The
Institute of Statistical Mathematics Cooperative Research
Report, 210: 120-125. The Scalable Parallel
Random Number Generators (SPRNG) Library is a widely used
software package for random number generation in
high-performance computing settings. In this paper, we
provide an overview of SPRNG and especially discuss its recent
developments. First, we give a very short review of random
number generators and their applications to Monte Carlo
computations. Then, we discuss some methods of parallel random
number generation, and give the rationale for SPRNG. We next
discuss about the past versions of SPRNG and the most recent
version, version 4.0. Finally, webriefly discuss the impact of
SPRNG and speculate on possible future work to SPRNG.
M. Mascagni (2008), "Random Number Generation : A
Practitioner's Overview," The Institute of Statistical
Mathematics Cooperative Research Report, 210: 97-119.
This gives a comprehensive overview of pseudorandom number
generation, parallel pseudorandom number generation, and
quasirandom number generation. The presentation is
motivated by an applications-based point-of-view.
Y. Li, M. Mascagni and A. Gorin (2007), "Decentralized Replica
Exchange Parallel Tempering: An Efficient Implementation of
Parallel Tempering Using MPI and SPRNG," Lecture Notes in
Computer Science, 4707: 507-519. This was a
paper given at the international conference entitled Computational
Science and Its Applications (ICCSA 2007) in Kuala Lumpur,
Malaysia in August, 2007. This paper discusses parallel
Tempering (PT), also known as Replica Exchange, which is a
powerful Markov Chain Monte Carlo sampling approach which aims
at reducing the relaxation time in simulations of physical
systems. In this paper, we present a novel implementation of PT,
so-called decentralized replica exchange PT, using MPI and the
Scalable Parallel Random Number Generators (SPRNG) libraries. By
adjusting the replica exchange operations in the original PT
algorithm, and taking advantage of the characteristics of
pseudorandom number generators, this implementation minimizes
the overhead caused by interprocessor communication in replica
exchange in PT. This enables one to efficiently apply PT to
large-scale massively parallel systems. The efficiency of this
implementation has been demonstrated in the context of various
benchmark energy functions, such as the high-dimensional
Rosenbrock function, and a rugged funnel-like function.
H. Chi and M. Mascagni (2007), "Efficient Generation of
Parallel Quasirandom Sequences via Scrambling," Lecture
Notes in Computer Science, 4487: 723-730.
This was a paper given at the international conference entitled
International Conference on Computational Science 2007 (ICCS
2007), held May 2007 in Beijing, People's Republic of
China. This paper proposes an alternative approach for
generating parallel quasirandom sequences. We take a single
quasirandom sequence and provide different random digit
scramblings of the given sequence. The exact meaning of the
digit scrambling we use depends on the mathematical details of
the quasirandom number sequence's method of generation. For the
Faure sequence we scramble by modifying the generator matrices
in the definition. The obtained sequences are very interesting
as the scrambled versions used in individual processes are of
higher quality than the original Faure sequence. Thus, we not
only obtain the expected near-perfect speedup of the naturally
parallel Monte Carlo methods, but the errors in the parallel
computation is even smaller than if the computation were done
with the same quantity of quasirandom numbers using the
original, unscrambled, Faure sequence.
N. A. Simonov and M. Mascagni (2005), "The Method of Random
Walk on Sphere for Solving Boundary-Value problems for Molecular
Electrostatics, Proceedings
of the 17th IMACS World Congress, 5 pages published on
compact disc, July, 2005. This paper presents
preliminary results for a new method for evaluating internal
boundary conditions that arise in molecular electrostatics
computations. The methods were developed to work in
concert with existing Monte Carlo methods for solving the entire
PDE system, and are a significant improvement on a
finite-difference based method previously developed. Not
only is performance enhanced by an order of magnitude, but a
bias from the finite-difference based method is eliminated.
Y. Li and M. Mascagni (2005), "A Bio-inspired Job Scheduling Algorithm for Monte
Carlo Applications on a Computational Grid," Proceedings
of the 17th IMACS World Congress, 7 pages published on
compact disc, July, 2005. In this paper we
present a bio-inspired job scheduling mechanism that enables the
adaptation of large-scale, naturally parallel and
compute-intensive Monte Carlo tasks to clustered computational
farms, such as large-scale computational grids, with
heterogeneous and dynamic performance. The kernel of this
scheduling mechanism is a swarm intelligent algorithm, which is
inspired from the ants’ behavior in a social insect colony.
C. Fleming, M. Mascagni and N. A. Simonov (2005), "An
Efficient Monte Carlo Approach for Solving Linear Problems in
Biomolecular Electrostatics," Proceedings of the Fifth
International Conference on Computational Science (ICCS 2005),
V. S. Sunderam, G. D. van Albada, P. M. A. Sloot, and J.
J. Dongarra (eds.), Lecture Notes in Computer Science,
3516: 760-765 (Part 3). (May 2005, Atlanta, GA) This
paper presents preliminary results for a new method for
evaluating internal boundary conditions that arise in molecular
electrostatics computations. The methods were developed to
work in concert with existing Monte Carlo methods for solving
the entire PDE system, and are a significant improvement on a
finite-difference based method previously developed. Not
only is performance enhanced by an order of magnitude, but a
bias from the finite-difference based method is eliminated.
H. Chi, P. Beerli, D. W. Evans and M. Mascagni (2005), "On the
Scrambled Soboĺ Sequence," Proceedings
of
the
Fifth
International
Conference
on Computational Science (ICCS 2005), V. S. Sunderam, G.
D. van Albada, P. M. A. Sloot, and J. J. Dongarra (eds.),
Lecture Notes in Computer Science, 3516: 775-782
(Part 3). (May 2005, Atlanta, GA This paper presents an
optimal linear scrambling of the Soboĺ sequence with techniques similar to those previously
developed by Chi and Mascagni for the Faure and Halton
sequences. This sequences is shown to be of good quality
in comparison to others based on the evaluation of a
high-dimensional geometrical Asian option.
N. A. Simonov and M. Mascagni (2004), "Random Walk Algorithms
for Estimating Electrostatic Properties of Large Molecules," Proceedings
of
The
International
Conference
on
Computational Mathematics (ICCM-2004), Novosibirsk, Russia,
G. A. Mikhailov, V. P. Il'in, and Y. M. Laevsky, eds., ICM&G
Publisher, Novosibirsk, Russia, Part I: 352-358. This
paper describes a new Monte Carlo algorithm for solving the
coupled Poisson/Poisson-Boltzmann system related to the
electrostatics of large molecules in a continuum model of
solvent.
M. Mascagni, A. Karaivanova, C.-O. Hwang (2004), "Quasi-Monte
Carlo Methods for Elliptic Boundary Value Problems," Proceedings
of
Monte
Carlo
and
Quasi-Monte
Carlo Methods in Scientific Computing (MCQMC) 2002, H.
Niederreiter (ed.), Springer Verlag: Berlin, pp.
345-356. This paper gives a brief overview of quasi-Monte
Carlo methods for solving elliptic boundary value problems using
walk-on-spheres variants.
Y. Li and M. Mascagni (2004), "E-Science Workflow on the
Grid," Proceedings of the International Association for the
Development of the Information Society (IADIS) International
Conference: e-Society 2004, P. Isaías, P. Komers, M. McPherson (eds.), pp.
1041-1046. This paper describes how one can use workflow
techniques to implement e-science-based grid computations.
Specifically, it describes how one maps agent operations from
workflow onto grid services using XML as the communications
intermediary.
Y. Li and M. Mascagni (2004), "E-Science on the Grid: Toward a
Dynamic E-Science Automation with XML and Workflow Techniques,"
accepted to the Proceedings of the 8th World Multiconference
on Systemics, Cybernetics and Informatics (SCI 2004),
Orlando, Florida, 7 pages. This paper describes how one
can use workflow techniques to implement e-science-based grid
computations. Specifically, it describes how one maps
agent operations from workflow onto grid services using XML as
the communications intermediary.
M. Mascagni and H. Chi (2004), "Optimal Quasi-Monte Carlo
Valuation of Derivative Securities," Computational Finance
and Its Applications, M. Costantino and C. A. Brebbia (eds.),
WIT Press, pp. 177-185. This paper finds an optimal
scrambling of the Faure sequence within the i-binomial
family. Then, this derandomized generalized Faure (GFaure)
sequence is used to evaluate a high-dimensional derivative
security, an European call option on the geometric mean of
several assets. The numerical results show improvement
over the plain Faure sequence.
M. Mascagni and Y. Li (2004), "Computational Infrastructure
for Parallel, Distributed, and Grid-based Monte Carlo
Computations," Proceedings of the Fourth International
Conference on Large-Scale Scientific Computations (LSSC'03),
Sozopol, Bulgaria, I. Lirkov, S.
Margenov, J. Wasniewski, P. Yalamov eds., Lecture Notes in
Computer Sciences, 2907: 39-52. This paper
provides an overview of computational infrastructure for
parallel, distributed, and Grid-based Monte Carlo
computations. The starting point is the Scalable Parallel
Random Number Generators (SPRNG) Library, and its uses for
parallel and distributed Monte Carlo, and the discussion ends
with a description of our Grid-Computing Infrastructure for
Monte Carlo Applications (GCIMCA).
A. Karaivanova, M. Mascagni and N. Simonov (2004), "Solving
Boundary Value Problems Using Quasirandom Walks on the
Boundary," Proceedings of the Fourth International
Conference on Large-Scale Scientific Computations (LSSC'03),
Sozopol, Bulgaria, I. Lirkov, S.
Margenov, J. Wasniewski, P. Yalamov eds., Lecture Notes in
Computer Sciences, 2907: 162-169. This paper
studies the us of quasirandom numbers in the solution problems
using the "random walk on the boundary" Monte Carlo
algorithm. The analysis and numerical results show that a
small but significant improvement in convergence rate is seen
over traditional Monte Carlo on this algorithm.
A. Karaivanova and M. Mascagni (2003), "Quasi-Monte Carlo
Methods for Some Problems in Linear Algebra," Proceedings of
the 7th Joint Conference on Information Sciences (JCIS 2003),
pp. 1754-1757. This paper presents Monte Carlo and
quasi-Monte Carlo methods for the solution of various problems
in numerical linear algebra. The paper begins with an
analysis of matrix-vector products, then solutions via Neumann
series, and finally the eigenvalue problems including stochastic
versions of the power method and the resolvent method.
M. Mascagni and A. Karaivanova (2002), "A Monte Carlo Approach
for Finding More Than One Eigenpair," Proceedings of Fifth
International Conference on Numerical Methods and Applications,
I. Dimov, L. Lirkov, S. Margenov, and Z. Zlatev (eds.), Lecture
Notes
in Computer Science, 2542: 123-131. This
paper extends previous results on Monte Carlo methods for
spectral linear algebra calculations.
Y. Li, M. Mascagni and R. van Engelen (2003), "GCIMCA: A
Globus and SPRNG Implementation of a Grid-Computing
Infrastructure for Monte Carlo Applications," accepted to the The
2003 International Conference on Parallel and Distributed
Processing Techniques and Applications, (PDPTA'03), Las
Vegas, Nevada, 5 pages. Taking advantage of the grid
facilities of the Globus toolkit and the large-scale random
number streams generated by the SPRNG library, this paper
discusses the implementation of GCIMCA, the Grid-Computing
Infrastructure for Monte Carlo Applications, to provide services
for high-performance and trustworthy grid-based Monte Carlo
computations.
M. Mascagni and N. A. Simonov (2003), "Monte Carlo Methods for
Calculating the Electrostatic Energy of a Molecule," Proceedings
of the 2003 International Conference on Computational Science
(ICCS 2003), P. M. A. Sloot, D. Abramson, A. V. Bogdanov,
J. J. Dongarra, A. Y. Zomaya, and Y. E. Gorbachev (eds.), Lecture
Notes in Computer Science, 2330: 598-608 (Part 2).
(June 2003, Melbourne, Australia and Saint Petersburg,
Russia) This paper presents a new Monte Carlo algorithm
for computing an electrostatic form of the internal energy of a
large protein molecule. The algorithm is also analyzed.
Y. Li and M. Mascagni (2003), "Improving Performance via
Computational Replication on a Large-Scale Computational Grid,"
Proceedings of the IEEE/ACM International Symposium on
Cluster Computing and the Grid(IEEE/ACM CCGRID2003),
pp. 442-448. This paper describes and analyze the
computational replication method to improve performance of a
generic application on a computational grid. The
computational replication method is extended to an N-out-of-M
schedule technique to improve the wall clock time of Grid-based
Monte Carlo computations.
Y. Li, M. Mascagni and M. H. Peters (2003), "Grid-based
Nonequilibrium Multiple-Time Scale Molecular Dynamics/Brownian
Dynamics Simulations of Ligand-Receptor Interactions in
Structured Protein Systems," Proceedings of the First
International Workshop on Biomedical Computations on the Grid(BioGrid'03) in Proceedings of the IEEE/ACM
International Symposium on Cluster Computing and the Grid(IEEE/ACM CCGRID2003), pp. 568-573. This paper
describes the application of our Grid-based Monte Carlo
technology to problems in protein biophysics.
M. Mascagni and N. A. Simonov (2002), "Random Walk Algorithms
on The Boundary Methods for Computing Reaction Rate and
Capacitance," Proceedings of the The International
Conference on Computational Mathematics, G. A. Mikhailov,
V. P. Il'in, Y. M. Laevsky (eds.), ICM & MG Publishers,
Novosibirsk, Russia, pp. 238-242. This paper
presents "walk on the boundary" methods for solving some
boundary-value problems formulated as integral equations.
Specifically, it deals with computing the capacitance of a
convex object and diffusion-limited reaction rates.
Y. Li and M. Mascagni (2002), "Grid-based Monte Carlo
Application," Proceedings of Grid Computing-GRID 2002,
Manish Parashar (ed.), Lecture Notes in Computer Science,
2536: 13-24. This paper examines the suitability of
Monte Carlo applications for the grid. In addition, the
M-out-of-N strategy is examined to speed Grid Monte Carlo
computations in a faulty environment and in using the random
number generator to provide the ability to validate a
volunteered Monte Carlo computation.
M. Mascagni and A. Karaivanova (2002), "A Parallel Quasi-Monte
Carlo Method for Solving Systems of Linear Equations," Proceedings
of
the
2002
International
Conference
on Computational Science,Peter M. A. Sloot, C. J.
Kenneth Tan, Jack J. Dongarra, Alfons G. Hoekstra (eds.), Lecture
Notes
in Computer Science, 2330: 598-608 (Part 2).(April 2002, Amsterdam, Netherlands) This paper
presents and analyzes a quasi-Monte Carlo approach to solving
systems of linear systems. In addition, the parallel
efficiency of this method is shown to be extremely good and
consistent with the ordinary Monte Carlo approach to this
problem.
A. Srinivasan and M. Mascagni (2002), "Monte Carlo Techniques
for Estimating the Fiedler Vector in Graph Applications," Proceedings
of
the 2002 International Conference on Computational Science
(ICCS 2002), Peter M.A. Sloot, C. J. Kenneth Tan, Jack J.
Dongarra, Alfons G. Hoekstra (eds.), Lecture Notes in
Computer Science, 2330: 635-645 (Part 2).
(April 2002, Amsterdam, Netherlands) This paper shows how
to use Monte Carlo techniques, based on Markov chains and the
probabilistic computations of matrix-vector products, to
estimate the Fiedler vector. This problem has significance
in graph partitioning problems related to domain decomposition.
M. Mascagni and A. Karaivanova (2001), "A Parallel Quasi-Monte
Carlo Method for Computing Extremal Eigenvalues," Proceedings
of Monte Carlo and Quasi-Monte Carlo Methods 2000, K.-T.
Fang, H. F. J. Hickernell, and H. Niederreiter, eds.,
Springer-Verlag: Berlin: pp. 369-380. (December 2000, Honk
Kong, China) This paper provides an error bound for the
use of quasi-Monte Carlo methods for computing extremal
eigenvalues of sparse matrices via methods related to the power
method. In addition, it is shown that the parallel
efficiency expected of Monte Carlo methods extends to these
Markov chain-based quasi-Monte Carlo methods.
J. A. Given, M. Mascagni, and C.-O. Hwang (2001), "Continuous
Path Brownian Trajectories for Diffusion Monte Carlo Via First-
and Last-Passage Distributions," Proceedings of the Third
International Conference on Large-Scale Scientific
Computations, S. Margenov, J. Wazniewski and P.
Yalamov (eds.), Lecture Notes in Computer Science,
2179: 46-57.(June 2001, Sozopol, Bulgaria)
This paper presents an overview of the application of the
Green's function first-passage and simulation tabulation methods
to problems arising in porous media, composite materials, and
biochemistry.
C.-O. Hwang, J. A. Given, and M. Mascagni (2001), "A
Feynman-Kac Path-Integral Implementation for Poisson's
Equation," in the Proceedings of the 2001 International
Conference on Computational Science, part I, pp.
1282-1288. (May 2001, San Francisco, CA) This paper
presents a new method to evaluate path integrals arising from
the Feynman-Kac solution of the Poisson equation when only
first-passage information is known about the path
trajectories. This has applications for the use of the
Green's function first-passage method for Poisson's equation.
M. Mascagni (2000), "Theory and Software for Parallel Random
Number Generation," Proceedings of The Fourth International
Conference on Supercomputing in Nuclear Applications (SNA
2000), CD-ROM: 14 pages. (September 2000, Tokyo,
Japan). This paper presents an overview of parallel random
number generation aimed at the Nuclear Engineering
community. Mathematical background and the use of SPRNG is
presented.
M. Zhou and M. Mascagni (2000), "The Cycle Server: A Web
Platform for Running Parallel Monte Carlo Applications on a
Heterogeneous Condor Pool of Workstations," Proceedings of
the 2000 International Conference on Parallel Processing
Workshops on Scalable Web Services, pp. 111-118. (August
2000, Toronto, Canada) This paper presents a distributed
computing tool that permits users to submit and retrieve
parallel Monte Carlo jobs to a Condor cluster. Most
importantly, this tool provides a distributed compilation
service that, given application source, produces executables for
many different operating system/architecture combinations.
M. Mascagni and S. Rahimi (2000), "Parallel Inversive
Congruential Generators: Software and Field-Programmable
Gate Array Implementations," in Proceedings of the
International Conference on Monte Carlo Simulation, G. I.
Schuëller and P. D. Spanos, eds., pp. 35-40. (June 2000, Monte
Carlo, Monaco) This paper presents a hardware design for
modular integer inversion and implements and benchmarks the
design on a field-programmable gate array device. This
problem is motivated by the desire to accelerate the generation
of inversive congruential pseudorandom numbers.
A. Karaivanova and M. Mascagni (2000), "Are Quasirandom
Numbers Good for Anything Besides Integration?" Proceedings
of Advances in Reactor Physics and Mathematics and Computation
into the Next Millennium (PHYSOR2000), CD-ROM: 15
pages. (May 2000, Pittsburgh, PA) This paper presents
quasi-Monte Carlo methods for Markov-chain based problems
arising from numerical linear algebra. It contrasts these
applications of quasirandom numbers to the more classical
application of numerical integration.
M. Mascagni (1999), "SPRNG: A Scalable Library for
Pseudorandom Number Generation," in Proceedings of the
Ninth SIAM Conference on Parallel Processing for Scientific
Computing, CD-ROM: 10 pages.(March 1999,
San Antonio, TX) This paper presents an overview of
parallel pseudorandom number generation via parameterization and
discuss particulars of the SPRNG library.
M. Hydari, D. M. Ceperley, A. Srinivasan, and M. Mascagni
(1999), "A Fast High-Quality Pseudo Random Number Library for
Java," in Proceedings of the Ninth SIAM Conference on
Parallel Processing for Scientific Computing, CD-ROM: 17
pages.(March 1999, San Antonio, TX) This paper
presents a Java extension to the SPRNG library.
M. Mascagni (1999), "SPRNG: A Scalable Library for
Pseudorandom Number Generation," Recent Advances in Numerical
Methods and Applications II, O. Iliev, B. Sendov, M.
Kaschiev, S. Margenov, P. Vassilevski, editors, World
Scientific, pp. 284-295. (August 1998, Sofia, Bulgaria)
This paper presents an overview of parallel pseudorandom number
generation via parameterization and discuss particulars of the
SPRNG library.
J.-L. Larriba-Pey, M. Mascagni, A. Jorba and J. J. Navarro
(1995), "An Analysis of the
Parallel Computation of Arbitrarily Branched Cable Neuron
Models'', in Proceedings of the Seventh SIAM Conference on
Parallel Processing for Scientific Computing, pp.
373-378. (March 1995, San Francisco, CA) This paper
provides an analysis of parallel finite-difference methods for
solving nerve equations based on new results for parallel
tridiagonal linear system solvers.
S. A. Cuccaro, M. Mascagni and
D. V. Pryor (1995) "Techniques for Testing the Quality of
Parallel Pseudorandom Number Generators'', Proceedings of
the Seventh SIAM Conference on Parallel Processing for
Scientific Computing, pp. 279-284. (March 1995, San
Francisco, CA) This paper presents a mathematical
framework for the testing of parallel random number generators
based on the parallel modification of serials tests and on the
use of exponential sum tests.
D. V. Pryor, S. A. Cuccaro, M.
Mascagni and M. L. Robinson (1994) "Implementation and Usage
of a Portable and Reproducible Parallel Pseudorandom Number
Generator'', Proceedings of Supercomputing '94, pp.
311-319. (November 1994, Washington, D.C.) This paper
discusses the parallel computational aspects that permit the
dynamic spawning of distinct parallel random number generators
without the need for interprocessor communication. The
method utilizes parameterized generators mapped to the binary
tree and the manipulations that are simplified with this
mapping.
M. Mascagni, S. A. Cuccaro, D.
V. Pryor and M. L. Robinson (1993) "Recent Developments in
Parallel Pseudorandom Number Generation'', Proceedings of
the Sixth SIAM Conference on Parallel Processing for
Scientific Computing, pp. 524-529. (March 1993, Norfolk,
VA) This paper presents results on the parameterization
of additive lagged-Fibonacci generators for use in parallel.
International Conference Proceedings Edited:
M. Mascagni, guest editor (2010), Conference Proceedings of
the Fifth IMACS Seminar on
Monte Carlo Methodspublished as
volume 80, number 6 of Mathematics
and Computers in Simulation, Elsevier, Amsterdam,
Boston, London, New York, Oxford, Paris, Philadelphia, San
Diego, St. Louis.
D. H. Bailey, P. E. Bjørstad,
J. R. Gilbert, M. V. Mascagni, R. S. Schreiber, H. D. Simon,
V. J. Torczon and L. T. Watson, editors (1995) Proceedings
of the Seventh SIAM Conference on Parallel Processing for
Scientific Computing, SIAM, Philadelphia.
National Conference Papers:
M. Zhou and M. Mascagni (1999), "Parallel Monte Carlo in a
Distributed Environment: SPRNG and CONDOR," in Proceedings
of the First Southern Symposium on Computing, CD-ROM: 5
pages. (December, 1998, Hattiesburg, MS) This paper
briefly reviews a distributed computing tool that permits users
to submit and retrieve parallel Monte Carlo jobs to a Condor
cluster. Most importantly, this tool provides a
distributed compilation service that, given application source,
produces executables for many different operating
system/architecture combinations.
C.-O. Hwang, J. A. Given and M. Mascagni (1999), "A New Fluid
Permeability Estimation," in Proceedings of the First
Southern Symposium on Computing, CD-ROM: 7 pages.
(December, 1998, Hattiesburg, MS) This paper briefly
presents Green's function first-passage Monte Carlo method to
compute the permeability of porous media models and provides
preliminary numerical results.
Preprints:
C. Ogden and M. Mascagni
(2017), “The Impact of Soft Error Event Topography on the
Reliability of Computer Memories,” submitted to IEEE Transaction on
Reliability, 11 pages. This paper presents a
statistical model of for soft errors in 45nm static RAM.
The model is analyzed statistically, and the simulations show
how different mitigation strategies impact the simulated
frequency of soft memory errors.
H. Ji, M. Mascagni and Y. Li (2015), "Gaussian Variant of
Freivalds' Algorithm for Efficient and Reliable Matrix Product
Verification," submitted to the SIAM Journal on Matrix
Analysis and Applications (SIMAX), 13 pages. This
paper proposes a stochastic variant of Frievalds' algorithm for
detecting faults in matrix-matrix multiplications, and analyzes
this method. The new method is more accurate, essentially
never giving false positives, and is a tool for enabling
fault-tolerant numerical linear algebra and providing many
algorithms resilience, especially to soft faults.
Reports:
M. H. Zhou, M. Mascagni, and A. Y. Qiao (1998), "Explicit
Finite Difference Schemes for the Advection Equation,"
Conservation Law Preprint 1998-024. This report presents a
new explicit finite-difference method for solving the advection
equation.
M. Mascagni (1997), "Polynomial versus Matrix Methods for
Leap-Ahead in Shift Register Type Pseudorandom Number
Generators," Institute for Mathematics and its Applications
(IMA) Reprint 1469. This paper shows that fast leap-ahead
methods applicable to shift-register pseudorandom number
generators can be extended to additive lagged-Fibonacci
generators.
M. Mascagni (1995), "A
Deterministic Particle Method for One-Dimensional
Reaction-Diffusion Equations'', Research Institute for
Advanced Computer Science (RIACS) Technical Report: 95.23,
Institute for Defense Analyses Center for Computing Sciences
(IDA/CCS) Technical Report: CCS-TR-95-144. This paper
derives a one-dimensional particle method for the solution of
nonlinear reaction-diffusion equations. This method is a
level-set analog of Monte Carlo methods previously studied by
the author. Numerical evidence is presented on the
efficacy of the method, and error analysis and proof is
provided.
M. Mascagni and S. A. Cuccaro
(1992), "A Comparison of Modular Multiplication Across
Parallel Supercomputing Architectures," Institute for Defense
Analyses Supercomputing Research Center Technical Report:
SRC-TR-92-116. This paper compares the speed of integer
modular multiplication modulo a Mersenne prime across
supercomputing and special purpose computing systems.
This paper was classified after initial publication, and is no
longer publicly available.
Abstracts:
J. Tabak, M. Mascagni and R. Bertram (2007), "Spontaneous
Episodic Activity: Why Episode Duration is Correlated with the
Length of the Preceding but not Following Interval,"
Society for Neuroscience Abstracts, 33: 925.7.
This
abstract
presents
results
on
using a simple stochastic model to replace a homogeneous
integrate-and-fire network of excitatory neurons. The
results are based on correlation between of episode duration
with the previous but not the following inter-episode
interval. The leads to a diagnostic for synaptic
depression versus cellular adaptation.
M. Mascagni (1987), "Computer Simulation of Negative Feedback
in Neurons," Society for Neuroscience Abstracts, 13:
375.4. This abstract presents results on the use of a
Hodgkin-Huxley axon/dendrite model to study the effect of
negative feedback on repetitive firing behavior of
neurons. It is empirically shown that negative feedback
increases the input sensitivity of the repetitive firing
response.
Software:
M. Mascagni, A. Srinivasan, D. M. Ceperley, and F. Saied
(1995), "Scalable Parallel Random Number
Generators (SPRNG) Library." This package has
become the standard for parallel and distributed random number
generation and was originally developed under DARPA Contract
Number DABT63-95-C-0123 for ITO: Scalable Systems and Software,
entitled A Scalable Pseudorandom Number Generation Library
for Parallel Monte Carlo Computations at the University
of Illinois at Champaign Urbana's National Center for
Supercomputing Applications, the Institute for Defense Analyses'
Center for Computing Sciences, and the University of Southern
Mississippi's Doctoral Program in Scientific Computing.
This software continues to be supported by FSU and the U.S.
Department of Energy, and is now distributed at the website: http://www.sprng.org.
Patents:
M. Mascagni (2017), "Reproducible Random Number Generation
Using Unpredictable Random Numbers," Patent pending. We
have developed a technique to use unpredictable and
non-reproducible random numbers, such as those that come from
physical sources of random numbers, and use those as the basis
for creating random number streams that are completely
reproducible, and hence suitable for simulation.
Invited Colloquia, Lectures, Proseminars and Seminars:
National Institutes of Health, Laboratory of Biological
Modeling, National Institute for Diabetes, Digestive, and Kidney
Diseases, Bethesda, MD: Pedagogical Seminar, 2017
National Institutes of Health, Laboratory of Biological
Modeling, National Institute for Diabetes, Digestive, and Kidney
Diseases, Bethesda, MD: Seminar, 2017
Notre Dame University, Department of Applied and Computational
Mathematics and Statistics (ACMS), South Bend, IN: ACMS
Applied Mathematics Seminar, 2017
University of Chicago, Department of Statistics, Computational
and Applied Mathematics Initiative, Chicago, IL: Scientific and
Statiscial Computing Seminar, 2017
Tsinghua University, Department of Computer Science and
Technology, Beijing, People's Republic of China: Laboratory
Seminar, 2015
Beijing Computational Science Research Center (CSRC), Beijing,
People's Republic of China, Director's Seminar, 2015
Supercomputing Center of the Computer Network Information
Center, Chinese Academy of Sciences, Beijing, People's Republic
of China, Director's Seminar, 2015
Institute of Computational Mathematics and
Scientific/Engineering Computing, Chinese Academy of Sciences,
Beijing, People's Republic of China, 2015
Tsinghua University, Department of Computer Science and
Technology, Electronic Design Automation Laboratory, Beijing,
People's Republic of China: Laboratory Seminar, 2015
Texas Agricultural and Mechanical (Texas A&M) University,
Department of Computer Science, College Station, TX: Seminar,
2015
Texas Agricultural and Mechanical (Texas A&M) University.
Department of Mathematics, College Station, TX: Seminar, 2015
D. E. Shaw Research, New York, NY: New York, NY: Invited
Lecture, 2015
The Simons Foundation, Simons Center for Data Analysis, New
York, NY: Seminar, 2015
Princeton Plasma Physics Laboratory, Princeton University,
Princeton, NJ: Joint Theory and Computational Plasma Physics
Seminar, 2015
National Institute of Standards and Technology, Information
Technology Laboratory/Mathematics and Computational Science
Division, Gaithersburg, MD: Seminar, 2015
National Institutes of Health, Laboratory of Biological
Modeling, National Institute for Diabetes, Digestive, and Kidney
Diseases, Bethesda, MD: Seminar, 2014
Bulgarian Academy of Sciences, Institute for Information and
Communication Technologies, Sofia, Bulgaria, Grid Technologies
and Applications Department Seminar, 2015
The Johns Hopkins University, Department of Applied
Mathematics and Statistics, Baltimore, MD: Applied Mathematics
and Statistics Colloquium, 2015
New York University, Courant Institute of Mathematical
Sciences, New York, NY: Biomathematics and Computational Biology
Colloquium, 2015
George Mason University, Department of Mathematical Sciences,
Fairfax, VA: Applied and Computational Mathematics Seminar, 2015
University of Michigan, Department of Nuclear Engineering and
Radiological Sciences, Ann Arbor, MI: Nuclear Engineering and
Radiological Sciences Colloquium, 2015
University of Michigan, Department of Physics, Ann Arbor, MI:
Center for the Study of Complex Systems Colloquium, 2015
Nanyang Technological University, School of Physical and
Mathematical Sciences, Division of Mathematical Sciences,
Singapore: Seminar of Numerical Analysis and Scientific
Computing, 2015
University of Maryland, Department of Computer Science,
College Park, MD: Numerical Analysis Seminar, 2015
Eidgenössische Technische Hochschule (ETH), Swiss Federal
Institute of Technology, Departement Informatik, Zürich,
Switzerland: Self-Organized Seminar (SOS), 2014
Oak Ridge National Laboratory, Computer Science and
Mathematics Division, Oak Ridge, TN: Discrete Computing Systems
Seminar, 2014
Tulane University, Department of Mathematics, New Orleans, LA:
Applied Mathematics Seminar, 2014
The Georgia Institute of Technology, College of Computing,
Scholl of Computational Science and Engineering, Atlanta, GA:
Computational Science and Engineering Colloquium, 2014
Loyola University Maryland, Department of Mathematics and
Statistics, Baltimore, MD: Mathematics and Statistics Seminar,
2014
Massachusetts Institute of Technology, Department of Nuclear
Science and Engineering, Cambridge, MA: American Nuclear Society
Seminar, 2014
University of Maryland Baltimore County, Department of
Mathematics, Baltimore, MD: Applied Mathematics Colloquium, 2014
George Mason University, Department of Mathematical Sciences,
Fairfax, VA: Mathematical Sciences Colloquium, 2014
Università degli Studi di Bologna, Bologna, Italy: Seminario
di Matematica Applicata, 2014
U. S. Naval Research Laboratory, Information Technology
Division, Center for Computational Science, Washington, DC:
High-Performance Computing Seminar, 2014
National Institute of Standards and Technology, Information
Technology Laboratory/Mathematics and Computational Science
Division, Gaithersburg, MD: Seminar, 2014
National Institute of Standards and Technology, Materials
Measurement Laboratory/Materials Science and Engineering
Division, Gaithersburg, MD: Seminar, 2014
Center for Computing Sciences, Institute for Defense Analyses,
Bowie, MD: Center for Computing Sciences Seminar, 2014
Lawrence Livermore National Laboratory, Livermore, CA:
Exascale Co-design Center for Materials in Extreme Environments
(ExMatEx) Seminar, 2014
Lawrence Livermore National Laboratory, Livermore, CA: Center
for Applied Scientific Computing (CASC) Colloquium, 2014
Google Incorporated, Googleplex, Mountain View, CA: Google
Invited Talk, 2014
Stanford University, Institute for Computational Mathematics
and Engineering, Palo Alto, CA: Institute for Computational
Mathematics and Engineering Colloquium, 2014
Purdue University, Department of Nuclear Engineering, West
Lafayette, IN: Computational Science and Engineering Seminar,
2014
Louisiana State University, Louisiana Alliance for
Simulation-Guided Materials Applications (LA-SiGMA), Baton
Rouge, LA: LA-SiGMA Seminar, 2014
Louisiana State University, Department of Mathematics, Baton
Rouge, LA: Applied Mathematics Seminar, 2014
Sandia National Laboratory, Computer Science Research
Institute, Computer Science Research Institute, Albuquerque, NM:
Computational Science Seminar, 2013
Institut Supérieur d'Informatique, de Modélisation et de leurs
Applications (ISIMA), Advanced Institute for Computer Science,
Modeling and Applications, Clermont-Ferrand, France: Computer
Science Seminar, 2013
National Institute of Standards and Technology, Information
Technology Laboratory/Mathematics and Computational Science
Division, Gaithersburg, MD: Seminar, 2013
National Institutes of Health, Laboratory of Biological
Modeling, National Institute for Diabetes, Digestive, and Kidney
Diseases, Bethesda, MD: Seminar, 2013
Institut National de Recherche en Informatique et Automatique
(INRIA), Sophia-Antipolis, France: Tosca Project Seminar, 2013
Bulgarian Academy of Sciences, Sofia, Bulgaria: Institute for
Information and Communication Technologies Colloquium, 2013
Tsinghua University, Department of Computer Science and
Technology, Electronic Design Automation Laboratory, Beijing,
People's Republic of China: Laboratory Seminar, 2013
University of North Carolina at Charlotte, Department of
Mathematics, Charlotte, NC: Applied and Computational
Mathematics Seminar, 2013
The National Institute of Informatics (NII), National Research
Grid Initiative (NAEGRI), Center for Grid Research and
Development, Tokyo, Japan: Institute Seminar, 2013
Graduate School of Mathematical Sciences, Department of
Mathematics, Univerisity of Tokyo, Tokyo, Japan: Frontiers
in Mathematical Scieneces and Physics Seminar, 2013
Japanese Atom Energy Agency, Univerisity of Tokyo, Tokyo,
Japan: Center for Computational Systems and e-Systems Seminar,
2013
University of Utah, Department of Mathematics, Salt Lake City,
UT: Applied Mathematics Seminar, 2012
Florida State University, Department of Computer Science,
Tallahassee, FL: Introduction to Research Seminar, 2012
Ecole Polytechnique Fédérale de Lausanne
(EPFL), Swiss Federal
Institute of Technology,
Chaire d'Analyse et Simulation Numériques, Institut d'Analyse
et Calcul Scientifique, Lausanne, Switzerland: Colloque
d'Analyse Numériques, 2012
Conseil Européen pour la Recherche Nucléaire
(CERN), Physics Department, Software Division and Information
Technology Division, Geneva, Switzerland: CERN Computing
Seminar, 2012
Eidgenössische Technische Hochschule (ETH), Swiss Federal
Institute of Technology, Departement Mathematik, Seminar für
Angewandte Mathematik (SAM), Zürich, Switzerland: SAM
Colloquium, 2012
Florida State University, Department of Scientific Computing,
Tallahassee, FL: Scientific Computing Seminar, 2012
Institute of Computational Mathematics and
Scientific/Engineering Computing, Chinese Academy of Sciences,
Beijing, People's Republic of China, 2012
King Abdullah University of Science and Technology (KAUST),
Thuwal, Kingdom of Saudi Arabia, Applied Mathematics Seminar,
2012
King Abdullah University of Science and Technology
(KAUST), Thuwal, Kingdom of Saudi Arabia, Computational Science
Seminar, 2012
Michigan State University, Department of Mathematics, East
Lansing, MI: Applied Mathematics Colloquium, 2012
Michigan State University, Department of Computer Science,
East Lansing, MI: Computer Science Colloquium, 2012
University of Delaware, Department of Computer Science,
Newark, DE: Probability and Stochastic Analysis Colloquium, 2012
Appalachian State University, Department of Computer Science,
Boone, NC: S-STEM Colloquium, 2012
Florida State University, Department of Scientific Computing,
Tallahassee, FL: Scientific Computing Colloquium, 2011
Florida State University, Department of Computer Science,
Tallahassee, FL: Introduction to Research Seminar, 2011
Old Dominion University, Department of Computer Science,
Norfolk, VA: Computer Science Colloquium, 2011
University of Massachussetts, Department of Mathematics,
Amherst, MA: Applied Analysis and Computation Seminar, 2011
Tufts University, Department of Mathematics, Medford, MA:
Mathematics Department Colloquium, 2011
Florida State University, Department of Computer Science,
Tallahassee, FL: Introduction to Research Seminar, 2011
Florida State University, Intitute for Molecular Biophysics,
Tallahassee, FL: Intitute for Molecular Biophysics Colloquium,
2011
University of Delaware, Department of Computer Science,
Newark, DE: Computer Science Colloquium, 2011
Army Research Laboratory, Computational and Information
Sciences Directorate, Aberdeen Proving Ground, MD: Seminar, 2011
National Institute of Standards and Technology, Applied and
Computational Mathematics Division of the Information Technology
Laboratory, Gaithersburg, MD: Seminar, 2011
National Institute of Standards and Technology, Statistical
Engineering Division of the Information Technology Laboratory,
Gaithersburg, MD: Seminar, 2011
National Institutes of Health, National Institute for
Diabetes, Digestive, and Kidney Diseases, Laboratory of
Biological Modeling, Bethesda, MD: Seminar, 2011
University of Florida, Department of Physics, Gainesville, FL:
High-Energy Physics (HEP) Seminar, 2011
University of California, Department of Mathematics, Berkeley,
CA: Applied Mathematics Colloquium, 2010
Florida State University, Department of Computer Science,
Tallahassee, FL: Faculty Seminar, 2010
Florida State University, Department of Computer Science,
Tallahassee, FL: Introduction to Research Seminar, 2010
Korean Atomic Energy Research Institute (KAERI), Daejeon,
Korea: Monte Carlo Methods Seminar, 2010
Korea University, Department of Industrial Engineering, Seoul,
Korea: Graduate Departmental Seminar, 2010
Technishe Universität Wien, Institut für Mikroelekronik,
Vienna, Austria: Monte Carlo Methods Seminar, 2010
Technishe Universität Wien, Institut für Mikroelekronik,
Vienna, Austria: Graduate Electrical Engineering Seminar, 2010
University of Wisconsin-Milwaukee, Department of Mathematical
Sciences, Applied Mathematics Colloquium, 2010
University of Wisconsin-Milwaukee, Department of Computer
Science, Computer Science Colloquium, 2010
Washington University in St. Louis, Center for Computational
Biology, School of Medicine: Special Seminar, 2010
King Abdullah University of Science and Technology (KAUST),
Thuwal, Kingdom of Saudi Arabia, Applied Mathematics Seminar,
2010
King Abdullah University of Science and Technology
(KAUST), Thuwal, Kingdom of Saudi Arabia, Computational Science
Seminar, 2010
Florida
State
University,
Department
of
Mathematics, Tallahassee, FL: Mathematical Biology Seminar,
2009
University of Miami, Department of Computer Science, Miami,
FL: Center for Computational Science Colloquium, 2009
Florida State University, Department of Computer Science,
Tallahassee, FL: Introduction to Research Seminar, 2008
Florida State University, Department of Computer Science,
Tallahassee, FL: Faculty Seminar, 2008
University
of
Miami,
Department
of
Computer Science, Miami, FL: Department of Computer Science
Colloquium, 2008
The National Institute of Informatics, National Research Grid
Initiative (NAEGRI), Center for Grid Research and Development,
Tokyo, Japan: Institute Seminar, 2008
Weierstraß Institut für Angewandte Analysis und Stochastik
(WIAS), Weierstrass Institute for Applied Analysis and
Stochastics, Berlin, Germany: Stochastic Algorithms Seminar,
2007
Université de Toulon et du Var, Institut des Sciences de l'Ingénieur de
Toulon et du Var, Modélisation Numérique et
Couplages, Toulon, France:
Mathematics Colloquium, 2007
Université de Toulon et du Var, Institut des Sciences de l'Ingénieur de
Toulon et du Var, Modélisation Numérique et
Couplages, Toulon, France:
Student Seminar, 2007
Florida State University, Department of Mathematics,
Tallahassee, FL: Mathematical Biology Seminar, 2007
Florida State University, Department of Computer Science,
Tallahassee, FL: Introduction to Research Seminar, 2007
Florida State University, Department of Computer Science,
Tallahassee, FL: Faculty Seminar, 2007
Columbia University, The Fu Foundation School of Engineering
and Applied Science, Department of Applied Physics and
Mathematics, New York, NY: Applied Mathematics Seminar, 2007
The University at Stony Brook, Department of Applied
Mathematics and Statistics (AMS), Stony Brook, NY: AMS Seminar,
2007
University of Florida, Department of Mathematics, Gainesville,
FL: Applied Mathematics Colloquium, 2007
North Carolina State University, Department of Mathematics,
Raleigh, NC: Applied Mathematics Seminar, 2007
North Carolina State University, Department of Computer
Science, Raleigh, NC: Computer Science Seminar, 2007
University of Florida, Department of Computer Information
Sciences and Engineering (CISE), Gainesville, FL: Computer
Science Colloquium, 2007
Florida State University, School of Computational Science,
Tallahassee, FL: Graduate Student Seminar, 2007
Florida State University, Department of Computer Science,
Tallahassee, FL: Introduction to Research Seminar, 2006
Tulane University, Department of Mathematics, New Orleans, LA:
Applied Mathematics Seminar, 2006
Louisiana State University, Department of Mathematics, Baton
Rouge, LA: Applied Analysis Seminar, 2006
Louisiana State University, Center for Computation and
Technology, Baton Rouge, LA: CCT Colloquium, 2006
Florida Agricultural and Mechanical University, Department of
Computer and Information Sciences, Tallahassee, FL: Departmental
Colloquium, 2006
Florida State University, Department of Computer Science,
Tallahassee, FL: Faculty Research Presentation Series, 2006
U. S. Naval Research Laboratory, Center for Computational
Science, Washington, DC: Seminar, 2006
U. S. Naval Research Laboratory, Electronic Support Measures,
Washington, DC: Particles Research Group Seminar, 2006
National Institute of Standards and Technology, Mathematics
and Computational Science Division, Gaithersburg, MD: Seminar,
2006
National Institutes of Health, Laboratory of Biological
Modeling, National Institute for Diabetes, Digestive, and Kidney
Diseases, Bethesda, MD: Seminar, 2006
Technishe Universität Wien, Institut für Mikroelekronik,
Vienna, Austria: Electrical Engineering Guest Lecture, 2006
Katholieke Universiteit Leuven (Catholic University of
Leuven), Department of Computer Science, Faculty of Engineering,
Leuven, Belgium: Numerical Analysis Seminar, 2006
Université Libre de Bruxelles (Free University of Brussels),
Service de Métrologie Nucléaire, Brussels, Belgium: Nuclear
Engineering Colloquium, 2006
Florida State University-Florida A&M University,
Department of Chemical and Biomedical Engineering, Tallahassee,
FL: Graduate Seminar, 2006
Ecole Polytechnique Fédérale de Lausanne (EPFL), Swiss Federal
Institute of Technology, School of Life Sciences, Brain Mind
Institute, Laboratory of Neural Microcircuitry, Lausanne,
Switzerland: Laboratory Seminar, 2006
Office of Naval Research, Global, London, United Kingdom:
Office of Naval Research, Army Research Office, Air Force Office
Scientific Research Seminar, 2006
Herriot-Watt University, Department of Mathematics, Edinburgh,
Scotland, United Kingdom: Industrial and Applied Mathematics
Seminar, 2006
Strathclyde University, Department of Mathematics, Glasgow,
Scotland, United Kingdom: Numerical Analysis Colloquium, 2006
Universität Ulm, Ulmer Zentrum für Wissenschafliches Rechnen
(Ulm Center for Scientific Computing), Ulm, Germany:
Forschungsseminar Wissenschaftliches Rechnen (Scientific
Computing Research Seminar), 2006
International Business Machines, Computational Chemistry and
Materials Science Department, Zürich Research Laboratory,
Rüschlikon, Switzerland: Deep Computing Institute Seminar, 2006
Eidgenössische Technische Hochschule (ETH), Swiss Federal
Institute of Technology, Computational/Collaborational
Laboratory in Computational Science and Engineering (CoLab),
Zürich, Switzerland: CoLab Seminar, 2006
Eidgenössische Technische Hochschule (ETH), Swiss Federal
Institute of Technology, Departement Mathematik, Seminar für
Angewandte Mathematik (SAM), Zürich, Switzerland: SAM
Colloquium, 2006
Ecole Polytechnique Fédérale de Lausanne
(EPFL), Swiss Federal
Institute of Technology,
Chaire d'Analyse et Simulation Numériques, Institut d'Analyse
et Calcul Scientifique, Lausanne, Switzerland: Colloque
d'Analyse Numériques, 2006
Conseil Européen pour la Recherche Nucléaire
(CERN), Physics Department, Software Division and Information
Technology Division, Geneva, Switzerland: CERN Computing
Seminar, 2006
Institut Supérieur d'Informatique, de Modélisation et de leurs
Applications (ISIMA), Advanced Institute for Computer Science,
Modeling and Applications, Université Blaise Pascal,
Clermont-Ferrand, France: Modeling and Simulation Seminar, 2006
The Georgia Institute of Technology, College of Computing,
Division of Computational Science and Engineering, Atlanta, GA:
Computational Science and Engineering Colloquium, 2006
Eidgenössische Technische Hochschule (ETH), Swiss Federal
Institute of Technology, Department Informatik, Computer
Science Department, Zürich, Switzerland: Theoretical Computer
Science Seminar, 2006
Eidgenössische Technische Hochschule (ETH), Swiss Federal
Institute of Technology, Rechnergestützte Wissenschaften, Computational
Science and Engineering, Zürich, Switzerland: Case Studies Seminar
in Computational Science and Engineering (Fallstudien),
2005
Humboldt Universität, Department of Mathematics, Berlin,
Germany: Numerical Analysis Seminar, 2005
Weierstraß Institut für Angewandte Analysis und Stochastik
(WIAS), Weierstrass Institute for Applied Analysis and
Stochastics, Berlin, Germany: Stochastic Algorithms Seminar,
2005
National Institute of Standards and Technology, Mathematics
and Computational Science Division, Gaithersburg, MD: Seminar,
2005
National Institutes of Health, Laboratory of Biological
Modeling, National Institute for Diabetes, Digestive, and Kidney
Diseases, Bethesda, MD: Seminar, 2005
Computational Science Center, Brookhaven National Laboratory,
Brookhaven, NY: Computational Science Center Seminar, 2005
The University at Stony Brook, Department of Applied
Mathematics and Statistics (AMS), Stony Brook, NY: AMS Seminar,
2005
University of Cyprus, Department of Computer Science, Nicosia,
Cyprus: Computer Science Colloquium, 2005
University of Cyprus, Department of Mathematics, Nicosia,
Cyprus: Mathematics Colloquium, 2005
University of Pittsburgh, Department of Mathematics,
Pittsburgh, PA: Biological Mathematics Colloquium, 2004
University of Miami, Department of Computer Science, Miami,
FL: Applied Mathematics Colloquium, 2004
Institut Supérieur d'Informatique, de Modélisation et de leurs
Applications (ISIMA), Advanced Institute for Computer Science,
Modeling and Applications, Clermont-Ferrand, France: Computer
Science Seminar, 2004
Université de Savoie, LAMA, Le Bourget-du-Lac, France: Applied
Mathematics Colloquium, 2004
Florida State University, Department of Computer Science,
Tallahassee, FL: Introduction to Research Seminar, 2004
Siberian Branch of the Russian Academy of Sciences,
Novosibirsk, Russia: Institute of Computational Mathematics and
Mathematical Geophysics (Computing Center), Department of
Statistical Modeling in Physics, Seminar on Monte
Carlo Methods, 2004
Florida State University-Florida A&M University,
Department of Mechanical Engineering, Tallahassee, FL: Graduate
Seminar, 2004
Florida State University, Department of Mathematics,
Tallahassee, FL: Mathematics Colloquium, 2004
Arizona State University, Department of Mathematics, Tempe,
AZ: Computational and Applied Mathematics Proseminar, 2003
University of Arizona, Department of Mathematics, Tucson, AZ:
Analysis and Its Applications Seminar, 2003
National Institutes of Health, Laboratory of Biological
Modeling, National Institute for Diabetes, Digestive, and Kidney
Diseases, Bethesda, MD: Seminar, 2003
National Institute of Standards and Technology, Mathematics
and Computational Science Division, Gaithersburg, MD: Seminar,
2003
Florida State University, Department of Computer Science,
Tallahassee, FL: Introduction to Research Seminar, 2003
Florida State University-Florida A&M University,
Department of Chemical Engineering, Tallahassee, FL: Graduate
Seminar, 2003
Eidgenössische Technische Hochschule (ETH), Swiss Federal
Institute of Technology, Computational/Collaborational
Laboratory in Computational Science and Engineering (CoLab),
Zürich, Switzerland: CoLab Colloquium, 2003
Seoul National University, Program in Computational Science
and Technology, Seoul, Korea: Computer Science and Technology
Colloquium, 2003
Kunsan National University, Department of Mechanical
Engineering, Kunsan, South Korea: Mechanical Engineering
Colloquium, 2003
Inha University, Department of Physics, Incheon, South Korea:
Physics Colloquium, 2003
Seoul National University, Department of Computer Science and
Engineering, Seoul, Korea: Computer Science Colloquium, 2003
Keio University, Faculty of Science and Technology, Department
of Mathematics, Yokohama, Japan: Mathematics Colloquium, 2003
Washington University in St. Louis, Center for Computational
Biology, School of Medicine: Special Seminar, 2003
University of California, San Diego, Computer Science and
Engineering Department, San Diego, CA: Computer Science Seminar,
2003
University of California, Los Angeles, Computer Science
Department, Los Angeles, CA: Computer Science Seminar, 2003
Oak Ridge National Laboratory, Computer Science and
Mathematics Division, Oak Ridge, TN: Computer Science and
Mathematics Seminar, 2003
Universität Kaiserslautern, Fachbereich Informatik,
Kaiserslautern, Germany: Computer Science Colloquium, 2002
Johann Wolfgang Goethe Universität Frankfurt am Main,
Department of Mathematics, Frankfurt am Main, Germany:
Departmental Colloquium, 2002
Universität Heidelberg, Intgerdisziplinäres Institut für
wissenschaftliches Rechen (ITWR), Heidelberg, Germany:
Scientific Computing Colloquium, 2002
Florida State University, Department of Computer Science,
Tallahassee, FL: Introduction to Research Seminar, 2002
National Institutes of Health, Mathematical Research Branch,
National Institute for Diabetes, Digestive, and Kidney Diseases,
Bethesda, MD: Seminar, 2002
Florida State University, School of Computational Science and
Information Technology, Tallahassee, FL: Physical Sciences
Colloquium, 2002
FH Salzburg: Fachhochschulgesellschaft mbH, Salzburg
University of Applied Sciences & Technology, School of
Telecommunication Engineering, Salzburg, Austria: Colloquium,
2002
Universität Salzburg, Institut für Scientific Computing,
Salzburg, Austria: Scientific Computing Colloquium, 2002
Università degli Studi di Bologna, Bologna, Italy: Seminario
di Matematica, 2002
Università degli Studi di Ferrara, Ferrara, Italy: Seminario
di Analisi Numerica, 2002
Università degli Studi di Ferrara, Ferrara, Italy: Seminario
di Matematica, 2002
Università degli Studi di Catania, Catania, Italy: Seminario
di Analisi Numerica, 2002
Università degli Studi di Catania, Catania, Italy: Seminario
di Informatica, 2002
Universität Salzburg, Institut für Mathematik, Salzburg,
Austria: Mathematics Colloquium, 2002
Technishe Universität Wien, Institut für Mikroelekronik,
Vienna, Austria: Electrical Engineering Guest Lecture, 2002
Université Libre de Bruxelles (Free University of Brussels), Service de Métrologie
Nucléaire, Brussels, Belgium: Nuclear Engineering Colloquium,
2002
Florida Atlantic University, Department of Physics, Boca
Raton, FL: Physics Colloquium, 2002
Florida State University, Department of Statistics,
Tallahassee, FL: Statistics Colloquium, 2002
Florida State University, Department of Computer Science,
Tallahassee, FL: Computer Science Colloquium, 2002
New York University, Courant Institute of Mathematical
Sciences, New York, NY: Applied Mathematics Seminar, 2001
National Institutes of Health, National Cancer Institute,
Frederick Cancer Research and Development Center, Laboratory of
Experimental and Computational Biology, Frederick, MD: Seminar,
2001
National Institutes of Health, Mathematical Research Branch,
National Institute for Diabetes, Digestive, and Kidney Diseases,
Bethesda, MD: Seminar, 2001
National Institute of Standards and Technology, Mathematics
and Computational Science Division, Gaithersburg, MD: Seminar,
2001
University of South Carolina, Department of Computer Science
and Engineering, Columbia, SC: Computer Science and Engineering
Colloquium, 2001
University of South Carolina, Department of Computer Science
and Engineering, Columbia, SC: Invited Lecture, Computational
Science, 2001
Emory University, Department of Mathematics and Computer
Science, Atlanta, GA: Mathematics and Computer Science
Colloquium, 2001
Emory University, Department of Mathematics and Computer
Science, Atlanta, GA: Computational Mathematics Seminar, 2001
Florida State University, Department of Chemical Engineering,
Tallahassee, FL: Chemical Engineering Colloquium, 2001
Lawrence Livermore National Laboratory, Livermore, CA: Center
for Applied Scientific Computing (CASC) Colloquium, 2001
Lawrence Livermore National Laboratory, Livermore, CA: Monte
Carlo Seminar (A-Division), 2001
Lawrence Livermore National Laboratory, Livermore, CA:
InternComputer Scienceships in Terascale Simulation Technology
(ITST) Lecture, 2001
Bulgarian Academy of Sciences, Sofia, Bulgaria: Central
Laboratory for Parallel Processing Colloquium, 2001
Weierstraß Institut für Angewandte Analysis und Stochastik
(WIAS), Weierstrass Institute for Applied Analysis and
Stochastics, Berlin, Germany: Stochastic Algorithms Seminar,
2001
Eidgenössische Technische Hochschule (ETH), Swiss Federal
Institute of Technology, Zürich, Switzerland: Vector and
Parallel Computing Colloquium, 2001
Eidgenössische Technische Hochschule (ETH), Swiss Federal
Institute of Technology, Zürich, Switzerland: Applied and
Numerical Mathematics Colloquium, 2001
Università degli Studi di Roma Una "La Sapienza", Rome, Italy:
Seminario di Analisi Numerica, 2001
Institut National de Recherche en Informatique et Automatique
(INRIA), Sophia-Antipolis, France: Omega Project Seminar, 2001
National Institute of Standards and Technology, Computational
and Applied Mathematics, Gaithersburg, MD: Seminar, 2001
Oak Ridge National Laboratory, Computer Science and
Mathematics Division, Oak Ridge, TN: Computer Science and
Mathematics Seminar, 2001
Florida State University, Center for Materials Research and
Technology (MARTECH), Tallahassee, FL: Martech Seminar, 2001
Florida State University, Department of Computer Science,
Tallahassee, FL: Computer Science Colloquium, 2001
Florida State University, Department of Mathematics,
Tallahassee, FL: Mathematics Colloquium, 2001
Florida State University, Department of Mathematics,
Tallahassee, FL: Introduction to Research Seminar, 2001
Florida State University, Department of Mathematics,
Tallahassee, FL: Symbolic Computing Seminar, 2001
Florida State University, Department of Mathematics,
Tallahassee, FL: FSU Mathematics Society Seminar, 2001
Florida State University, Department of Mathematics,
Tallahassee, FL: Complex Analysis Seminar, 2001
Florida State University, Department of Mathematics,
Tallahassee, FL: Mathematics Colloquium, 2000
Florida State University, Department of Mathematics,
Tallahassee, FL: Cryptography Seminar, 2000
University of California, Santa Barbara, Department of
Computer Science, Santa Barbara, CA: Computer Science
Colloquium, 2000
University of Tokyo, Financial Engineering Department, Tokyo,
Japan: Financial Engineering Seminar, 2000
Universität Salzburg, Department of Computer Science,
Salzburg, Austria: Computer Science Seminar, 2000
Florida A&M University-Florida State University,
Department of Electrical Engineering, Tallahassee, FL: Graduate
Seminar, 2000
Stetson University, Department of Mathematics, Deland, FL:
Mathematics Colloquium, 1999
Florida State University, Department of Mathematics,
Tallahassee, FL: Mathematics Colloquium, 1999
Florida State University, Department of Statistics,
Tallahassee, FL: Statistics Colloquium, 1999
Universität Salzburg, Institut für Mathematik, Salzburg,
Austria: Mathematics Colloquium,1999
Universität Salzburg, Institut für Mathematik, Salzburg,
Austria: pLab Group Seminar, 1999
Bettis Laboratory, West Mifflin, PA: Joint Bettis, KAPL, and
Naval Reactors Seminar, 1999
Bettis Laboratory, West Mifflin, PA: Reactor Methods and
Programming Seminar, 1999
Lawrence Berkeley National Laboratory, NERSC, Berkeley, CA:
Scientific Computing Seminar, 1999
University of Tennessee, Knoxville, TN: Innovative Computing
Laboratory (Computer Science) Seminar, 1999
Oak Ridge National Laboratory, Oak Ridge, TN: Center for
Computational Science Seminar, 1999
University of Michigan, Ann Arbor, MI: Nuclear Engineering and
Radiological Sciences Colloquium, 1999
University of Michigan, Ann Arbor, MI: Nuclear Engineering and
Radiological Sciences Monte Carlo Seminar, 1999
University of Texas, Austin, TX: Texas Institute for
Computational and Applied Mathematics Seminar, 1999
Florida State University, Tallahassee, FL: Computer Science
Seminar, 1999
Florida State University, Tallahassee, FL: Computational
Science and Engineering Seminar, 1999
NASA Langley Research Center, Hampton, VA: ICASE Colloquium,
1999
Old Dominion University, Norfolk, VA: Computer Science
Colloquium, 1999
Mississippi State University, Starkville, MS: Mathematics
Colloquium, 1998
University of Mississippi, Oxford, MS: Mathematics Colloquium,
1998
University of Mississippi, Oxford, MS: Computer Science
Seminar, 1998
Mississippi State University, Starkville, MS: Undergraduate
Mathematics Seminar, 1998
Tulane University, New Orleans, LA: Applied Mathematics
Seminar, 1998
Corps of Engineers Waterways Experiment Station, Vicksburg,
MS: Information Technology Laboratory Colloquium, 1998
NASA Jet Propulsion Laboratory, Pasadena, CA: Colloquium, 1998
National Institute of Standards and Technology, Gaithersburg,
MD: Information Technology Laboratory Seminar, 1998
University of Illinois, Urbana-Champaign, IL: NCSA Colloquium,
1998
University of Chicago, Chicago, IL: Computer Science
Colloquium, 1998
University of Kentucky, Lexington, KY: Computational
ScienceComputer Science Center Colloquium, 1998
Sandia National Laboratory, Albuquerque, NM: Massively
Parallel Computing Research Laboratory Seminar, 1997
Rice University, Houston, TX: Center for Research in Parallel
Computing Colloquium, 1997
BBN Inc., Cambridge, MA: Applied and Computational Mathematics
Colloquium, 1991
Brookhaven National Laboratory, Upton, NY, Mathematical
Sciences: Seminar, 1991
National Institute of Standards and Technology, Gaithersburg,
MD: Computational and Applied Mathematics Seminar, 1991
Naval Research Laboratory, Washington, DC: Acoustics Branch
Seminar, 1990
IBM-T. J. Watson Laboratory, Yorktown Heights, NY:
Mathematical Sciences Seminar, 1990
NASA-Ames Research Center, Moffett Field, CA: NAS-RIACS
Seminar, 1990
Yale University, New Haven, CT, Computer Science: Seminar,
1990
John von Neumann National Supercomputer Center, Princeton, NJ:
Colloquium, 1990
University of Maryland, College Park, MD: Numerical Analysis
Seminar, 1989
Washington Area Connection Machine User's Group, Catholic
University of America., Washington, DC: Meeting Seminar, 1989
Courant Institute of Mathematical Sciences-NYU, New York, NY:
Applied Mathematics Seminar, 1989
Naval Research Laboratory, Washington, D.C., Connection
Machine Facility: Seminar, 1989
NASA-Goddard Space Flight Center, Greenbelt, MD: Seminar, 1989
Courant Institute of Mathematical Sciences-NYU, New York, NY:
Parallel Computation Seminar, 1988
Division of Computer Research and Technology, NIH, Bethesda,
MD: Seminar, 1988
Supercomputing Research Center, Bowie, MD: Colloquium, 1988
California Institute of Technology, Pasadena, CA, Computation
and Neural Systems: Seminar, 1988
Mathematical Research Branch, NIDDK, NIH, Bethesda, MD:
Seminar, 1987
National Cancer Institute, Frederick, MD: Mathematical Biology
Seminar, 1987
Tulane University, New Orleans, LA: Mathematics Colloquium,
1987
Courant Institute of Mathematical Sciences-NYU, New York, NY:
Numerical Analysis Seminar, 1987
Hunter College, New York, NY: Computer Science Colloquium,
1987
Courant Institute of Mathematical Sciences-NYU., New York, NY:
Mathematical Biology Seminar, 1987
Invited Conference Presentations:
10th International Conference on Large Scale Scientific
Computing (LSSC15), The Bulgarian Academy of Sciences, Sozopol,
Bulgaria: 25-minute invited talk entitled: Gaussian Variant
of Freivalds' Algorithm for Efficient and Reliable Matrix
Product Verification (June, 2015)
The 2014 Conference on High-Performance Computing and
Simulation (HPCS2014), Savoia Hotel Regency, Bologna, Italy:
60-minute invited talk entitled: Random Number Generation
Tools for Distributed Simulation on Modern HPC Architectures (July,
2014)
22nd High Performance Computing Symposium (HPC 2014), part of
the SCS Spring Simulation Multiconference (SpringSim '14),
Tampa, FL: 60-minute invited talk entitled:Monte
Carlo Methods and Partial Differential Equations:
Algorithms and Implications for High-Performance Computing
(April, 2014)
9th International Conference on Large Scale Scientific
Computing (LSSC13), The Bulgarian Academy of Sciences, Sozopol,
Bulgaria: 45-minute invited plenary talk entitled: Monte
Carlo Methods and Partial Differential Equations: Algorithms
and Implications for High-Performance Computing (June,
2013)
41st SPEEDUP Workshop (25th Anniversary) on High-Performance
Computing, The SPEEDUP Society, The SWISS forum for Grid and
High Performance Computing, ETH-Zürich, Zürich Switzerland:
45-minute invited plenary talk entitled: Monte Carlo
Methods: Early History and Modern Developments (September,
2012)
Engineering and Physical Science Research Council (EPSRC)
Symposium Workshop on Numerical Analysis of Partial Differential
Equations (NASPDE12), University of Warwick, Warwick, UK:
40-minute invited talk entitled: Novel Stochastic Methods in
Biochemical Electrostatics (June, 2012)
The Archimedes Center for Modeling, Analysis, and Computation
(ACMAC) workshop on Stochastic Partial Differential Equations,
University of Crete, Heraklion, Crete, Greece: 50-minute invited
talk entitled: Stochastic Methods for Solving Deterministic PDE
Systems Can Beat Deterministic Methods. An Example in
Biochemical Electrostatics (June, 2011)
ULAM100:
Ulam
Centennial
Conference,
University
of Florida, Gainesville, FL: 60-minute invited talk entitled:
Monte Carlo Methods: Early History and the basics
(March, 2009)
SC08: International Conference for High Performance Computing,
Networking, Storage and Analysis, Austin, TX: 90-minute invited
talk in the Educational Program entitled: SPRNG Awakenings;
Random Numbers, Monte Carlo, Parallel Computing: Toxic Mix?
(November, 2008)
ACS 2008: The American Chemical Society Annual Meeting,
Special Session on Computational Chemistry, Philadelphia, PA:
45-minute invited talkentitled: Novel Stochastic
Methods in Biochemical Electrostatics. (August, 2008)
FAME 2008: The Florida Annual Meeting and Exposition,
sponsored by the Florida Section of the American Chemical
Society, Orlando, FL: 30-minute invited in the Biophysics
Symposium entitled: Novel Stochastic Methods in
Biochemical Electrostatics. (May, 2008)
PDCoF 2008: Parallel and Distributed Computing in Finance
(Computational Finance) in conjunction with IPDPS08, Miami, FL:
55-minute keynote talk entitled: Random Number Generation
for Serial, Parallel, Distributed, and Grid-based Financial
Computations. (April, 2008)
Symposium: Applied Characterization of Random Number
Generators and Related Topics, Institute of Statistical
Mathematics , Tokyo, Japan, 30-minute invited talk entitled
Random Number Generation: A Practitioner's Overview.
(January, 2008)
SC07: International Conference for High Performance Computing,
Networking, Storage and Analysis, Educational Program, Reno, NV:
120-minute invited talk entitled Monte Carlo in Reno. (November,
2007)
ICIAM 2007: The Sixth International Congress on Industrial and
Applied Mathematics, Zürich, Switzerland: invited
minisymposium Computational Science and Engineering (CSE)
with membership in a 60-minute invited panel entitled: CSE has landed: who will give it a home and
budget? (July, 2007)
ICIAM 2007: The Sixth International Congress on Industrial and
Applied Mathematics, Zürich, Switzerland: 30-minute invited
minisymposium Stochastic Numerics: Monte-Carlo methods,
SDEs, PDEs with a talk entitled: Recent
Developments in the Scalable Parallel Random-Number
Generators (SPRNG) Library. (July, 2007)
ICIAM 2007: The Sixth International Congress on Industrial and
Applied Mathematics, Zürich, Switzerland: 30-minute invited
minisymposium Stochastic Numerics: Monte-Carlo methods,
SDEs, PDEs with a talk entitled: Monte-Carlo
Methods for Problems in Biological Electrostatics.
(July, 2007)
ICIAM 2007: The Sixth International Congress on Industrial and
Applied Mathematics, Zürich, Switzerland: 30-minute invited
minisymposium Computational Science and Engineering (CSE)
with a talk entitled: Computational Science Education in
the United States. (July, 2007)
MCM2007: The Sixth IMACS Seminar on Monte Carlo Methods,
Reading University, Reading, UK: 60-minute invited talk
entitled: Monte
Carlo Methods for Partial Differential Equations
. (June, 2007)
Grid Computing Symposium, North Carolina Agricultural and
Technical University, Greensboro, NC: 45-minute invited talk
entitled: Grid
Computing at FSU. (April, 2007)
Workshop on Numerics for Stochastic Differential Equations
and Application, School of Computational Science, Florida
State University, Tallahassee, FL: 60-minute invited talk
entitled: Using
Simple SDEs (Stochastic Differential Equations) to Solve
Complicated PDEs (Partial Differential Equations). (September, 2005)
Workshop on Computational Stochastic Differential
Equations, The Mathematical Research and Conference
Center, Institute of Mathematics, Polish Academy of Sciences, Będlewo (Poznań), Poland: 30-minute invited talk entitled:
A Monte Carlo Method for Solving Boundary-Value Problems
Arising in Continuum Molecular Electrostatics. (September,
2005)
17th IMACS World Congress, Scientific Computation,
Applied Mathematics and Simulation, IMACS 2005, Paris, France:
25-minute invited talk in the Workshop on Large-Scale Linear
Algebra Grid Computing entitled: A Bio-Inspired Job
Scheduling Algorithm for Monte Carlo Applications on a
Computational Grid. (July, 2005)
17th IMACS World Congress, Scientific Computation,
Applied Mathematics and Simulation, IMACS 2005, Paris, France:
25-minute invited talk in the Workshop on Monte Carlo
Methods for PDEs and Applications in Turbulence, Biochemistry,
and Finance entitled (presented by co-author Nikolai
Simonov): The Method of Random Walk on Spheres for Solving
Boundary-Value problems for Molecular Electrostatics.
(July, 2005)
17th IMACS World Congress, Scientific Computation,
Applied Mathematics and Simulation, IMACS 2005, Paris, France:
25-minute invited talk in the Workshop on Monte Carlo
Methods for PDEs and Applications in Turbulence, Biochemistry,
and Finance entitled: Computational Investigation of
Optimal Quasirandom Sequences in Numerical Finance. (July,
2005)
Fifth International Conference on Computational Science: ICCS
2005, Emory University, Atlanta, GA: 25-minute invited talk in
the Workshop on Parallel Monte Carlo Algorithms for Diverse
Applications in a Distributed Setting entitled: An
Efficient Monte Carlo Approach for Solving Linear Problems of
Biomolecular Electrostatics. (May, 2005)
Fifth International Conference on Computational Science: ICCS
2005, Emory University, Atlanta, GA: 25-minute invited talk in
the Workshop on Parallel Monte Carlo Algorithms for Diverse
Applications in a Distributed Setting entitled: On
the Scrambled Soboĺ Sequence.
(May, 2005)
Society for Industrial and Applied Mathematics 2005 Conference
on Computational Science and Engineering, Orlando, FL: 30-minute
invited talk in the Minisymposium on Monte Carlo
Computations in Biology and Materials Science entitled: Monte
Carlo Methods in Biological Electrostatics. (February
2005)
Society for Industrial and Applied Mathematics 2005 Conference
on Computational Science and Engineering, Orlando, FL: 30-minute
invited talk in the Minisymposium on Critical Issues in the
Application of Multi-scale Techniques to Computational
Nanotechnology entitled (presented by co-author Ashok
Srinivasan): Continuum Molecular Electrostatics via Monte
Carlo Methods. (February 2005)
American Mathematical Society 2004 Spring
Southeastern Section Meeting, Florida State University,
Tallahassee, FL: 30-minute invited talk in the Special Session
on Application of Mathematics to Problems in Biology
entitled: Monte Carlo Methods for Calculating Some
Physical Properties of a Large Molecule. (March, 2004)
Seventh Joint Conference on Information Sciences (JCIS
2003)/Seventh International Conference on Computer Science and
Informatics, Research Triangle Park, NC: 40-minute invited talk
entitled: Quasi-Monte Carlo Methods for Some Problems in
Linear Algebra. (September, 2003)
Fourth IMACS Seminar on Monte Carlo Methods, Berlin, Germany:
20-minute invited talk entitled: Grid-based Quasi-Monte
Carlo Applications. (September, 2003)
Fourth IMACS Seminar on Monte Carlo Methods, Berlin, Germany:
20-minute invited talk entitled (presented by co-author Nikolai
Simonov): Random Walk Algorithms for the Estimation of
Effective Properties for Digitized Porous Media. (September,
2003)
Fourth IMACS Seminar on Monte Carlo Methods, Berlin, Germany:
20-minute invited talk entitled: On the Scrambled Halton
Sequence. (September, 2003)
Fourth IMACS Seminar on Monte Carlo Methods, Berlin, Germany:
20-minute invited talk entitled (presented by co-author Aneta
Karaivanova): Parallel Quasirandom Walks on the Boundary. (September,
2003)
Fourth IMACS Seminar on Monte Carlo Methods, Berlin, Germany:
20-minute invited talk entitled (presented by co-author
Abdujabar Rasulov): Branching Random Walks Using Quasirandom
Sequences. Is That Possible? (September, 2003)
Fifth International Congress on Industrial and Applied
Mathematics (ICIAM 2003), Sydney, Australia: 30-minute invited
minisymposium talk entitled: Computing the Capacitance
of the Unit Cube to High Accuracy. (July, 2003)
Fifth International Congress on Industrial and Applied
Mathematics (ICIAM 2003), Sydney, Australia: 30-minute invited
minisymposium talk entitled: Monte Carlo Methods for
Computing Electrostatic Internal Energies of Large Molecules.
(July, 2003)
Fourth International Conference on Large-Scale Scientific
Computations (LSSC'03), Sozopol, Bulgaria: 50-minute invited
plenary talk entitled: Computational Infrastructure
for Parallel, Distributed, and Grid-based Monte Carlo
Computations. (June, 2003)
Algorithms and Complexity for Continuous Problems: Schloss
Dagstuhl International Conference and Research Center for
Computer Science, Dagstuhl, Germany: 25-minute invited
talk (presented by co-author Emanouil Atanassov) entitled Efficient
Generation of Low Discrepancy Sequences. (September 2002)
Algorithms and Complexity for Continuous Problems: Schloss
Dagstuhl International Conference and Research Center for
Computer Science,, Dagstuhl, Germany: 25-minute invited
talk (presented by co-author Aneta Karaivanova) entitled Quasi-Monte
Carlo Methods for Some Linear Algebra Problems, Convergence
and Complexity. (September 2002)
Fifth International Conference on Numerical Methods and
Applications (MN&A 02), Borovets, Bulgaria; 45-minute
invited plenary talk entitled Stochastic Methods for Partial
Differential Equations: Avoiding Complicated Deterministic
Constructs in Applications. (August 2002)
Institute for Mathematics and It's Applications, Foundations
of Computational Mathematics 2002, University of Minnesota,
Minneapolis, MN; 50-minute invited semiplenary talk entitled Stochastic
Methods for Partial Differential Equations: Theory and
Applications. (August 2002)
Centre de Recherché Mathematiques: Workshop on Random Number
Generation and Highly Uniform Uniform Point Sets, Université de
Montréal, Québec, Canada: 60-minute invited talk entitled Random
Number Requirements of Large Monte Carlo Applications: A
Developer's Perspective. (June 2002)
Scalable Parallel Random Number Generators (SPRNG) Workshop,
Sandia National Laboratory, Albuquerque, NM: a 120-minute
invited talk entitled Recent Developments and Future
Plans for the Scalable Parallel Random Number Generators
(SPRNG) Library. (February, 2002)
Third IMACS Seminar on Monte Carlo Methods, Salzburg, Austria:
30-minute invited talk entitled A Feynman-Kac Formula
Implementation for the Linearized Poisson-Boltzmann Equation.
(September,
2001)
European Conference on Numerical Mathematics Advanced
Applications 2001, Ischia Porto, Naples, Italy: 25-minute
invited minisymposium talk entitled Continuous Path Brownian
Trajectories for Diffusion Monte Carlo Via First- and
Last-Passage Distributions, (July 2001)
European Conference on Numerical Mathematics Advanced
Applications 2001, Ischia Porto, Naples, Italy: 25-minute
invited minisymposium talk entitled SPRNG: A Scalable
Library for Pseudorandom Number Generation, (July 2001)
European Conference on Numerical Mathematics Advanced
Applications 2001, Ischia Porto, Naples, Italy: 25-minute
invited minisymposium talk entitled Feynman-Kac
Path-Integral Implementation for Poisson's Equation Using an
F-conditioned Green's Function, presented by C.-O. Hwang,
(July 2001)
Third International Conference on Large-Scale Scientific
Computations, Sozopol, Bulgaria: 30-minute invited talk entitled
Continuous Path Brownian Trajectories for Diffusion Monte
Carlo Via First- and Last-Passage Distributions, (June
2001)
The 2001 International Conference on
Computational Science, San Francisco,
CA: 20-minute invited minisymposium talk entitled A
Feynman-Kac Path-Integral Implementation for Poisson's
Equation, presented by C.-O. Hwang, (May 2001)
Journées savoisiennes de mathématiques appliquées, Methodes
Particulaires de Simulation Numerique (Particle Methods for
Numerical Simulation), Université de Savoie, Le Bourget-du-Lac,
France: 60-minute invited talk entitled New Monte Carlo
Methods for Problems in Materials and Biology. (May,
2001)
The Fourth International Conference on Supercomputing in
Nuclear Applications, Toranoman-Pastoral, Tokyo, Japan:
35-minute invited talk entitled Theory and Software for
Parallel Random Number Generation. (September, 2000)
Numerical Methods and Applications, Sofia, Bulgaria: 35-minute
Invited Talk entitled SPRNG: A Scalable Library for
Pseudorandom Number Generation. (July 1998)
NATO Advanced Study Institute: Quantum Monte Carlo Methods in
Physics and Chemistry, Cornell University, Ithaca, NY: 90-minute
talk entitled Serial and Parallel Random Number Generation:
Theory and Practice. (June 1998)
American Nuclear Society Mathematics and Computation Division,
American Nuclear Society Annual Meeting, Nashville, TN:
90-minute roundtable entitled Current Issues in
Computational Methods. (June 1998)
Programming Environment and Training
Workshop entitled "High-Performance Monte Carlo Tools," Stennis
Space Center, MS: 45-minute invited talk entitled Future
Trends in Random Number Generation. (April 1998)
Institute for Mathematics and Its Applications, Special Year
in High Performance Computing: Workshop on Algorithms for
Parallel Processing, University of Minnesota, Minneapolis, MN:
60-minute talk entitled A Scalable Library for Pseudorandom
Number Generation: Theory and Practice. (September, 1996)
Centre de Recherché Mathematiques: Workshop on Pseudorandom
Number Generation, Université de Montréal, Québec, Canada;
90-minute talk entitled A Scalable Library for Pseudorandom
Number Generation: Theory and Practice. (June 1996)
DARPA/ITO Computing Systems and Software Principal
Investigator's Meeting, San Antonio, TX; 10-minute talk entitled
Scalable Pseudorandom Number Generation Tools for Monte Carlo
Computations. (March 1996)
Mathematical Sciences Institute Workshop on Stochastic
Modeling, The University at Stony Brook, NY; 30-minute invited
talk entitled A Gradient Random Walk Method for
Two-Dimensional Reaction-Diffusion Equations. (January
1995)
Argonne Theory Institute; Parallel Monte Carlo Simulation:
Issues, Tools, and Techniques; Argonne National Laboratory, IL:
2-hour invited talk entitled Parallel Monte Carlo Methods
for Partial Differential Equations. (June 1990)
West Virginia University Conference on Computational Research
on Materials, Morgantown, WV, invited talk entitled Techniques
of Parallel Processing: The Need for New Algorithms.
(March 1990)
AMS/IMS/SIAM Conference on "Statistical Multiple
Integration'', Arcata, CA: invited talk entitled Random
Walks, Elliptic Equations, and Massively Parallel Computing. (June
1989)
SIGGRAPH `88, Atlanta, GA; invited talk to the International
Iris User Forum on Scientific Visualization entitled Simulation
of Networks of Neurons and scientific images contributed
to Scientific Visualization, the National Center for
Supercomputing Applications' contribution to the SIGGRAPH
`88 Video and Animation Show. (August 1988)
Contributed Conference Presentations:
SIAM Conference on Computational Science and Engineering,
Atlanta, GA: minisymposium entitled Numerical
Reproducibility, 25-minute contributed talk entitled The
Forensic Reproducibility of Pseudorandom Number Generation on
Modern Architectures. (February, 2017)
ICCS2016: International Conference on Computational Science
2016, San Diego, CA: 30-minute contributed talk entitled: Acceleration
and Parallelization of ZENO/Walk-on-Spheres. (June, 2016)
ExaMath13: DOE Workshop on Applied Mathematics Research for
Exascale Computing, American Geophysical Union, Washington, DC:
10-minute contributed talk entitled: Monte Carlo Methods are
Perfectly Situated to Enable Exascale Scientific Computing.
(August, 2013)
MCM2013: The Ninth IMACS Seminar on Monte Carlo Methods,
Université de Savoie, Annecy, France: 30-minute contributed talk
entitled: SGLCG: A Scalable Linear Congruential Generator
for SPRNG and CUDA. (July, 2013)
Institute of Mathematics and Its Application Workshop on
Solvation, Minneapolis, MN: poster entitled Novel Stochastic
Methods in Biochemical Electrostatics. (December, 2008)
SIAM Conference on Parallel Processing for Scientific
Computing, Atlanta, GA: minisymposium entitled Parallel
Stochastic Methods in Computational Biology, 30-minute
contributed talk entitled Novel Stochastic Methods in Biochemical
Electrostatics.
(March, 2008)
SIAM Conference on Parallel Processing for Scientific
Computing, Atlanta, GA: minisymposium entitled Parallel
Stochastic Methods in Computational Biology, 30-minute
contributed talk entitled Estimation of Migration Rates and
Effective Population Numbers by Using Importance Sampling,
presented for authors Hongmei Chi and Peter Beerli. (March,
2008)
SIAM Conference on Parallel Processing for Scientific
Computing, Atlanta, GA: poster entitled The Scalable
Parallel Random Number Generators (SPRNG) Library Version 4.0, with co-author Jane Ren. (March,
2008)
SC07: International Conference for High Performance Computing,
Networking, Storage and Analysis, Technical Program, Reno, NV:
poster entitled Decentralized Replica Exchange Parallel
Tempering: An Efficient Implementation of Parallel Tempering
using MPI and SPRNG, with co-authors Yaohang Li and Andrey
Gorin. (November, 2007)
Society for Neuroscience 2007 Annual Meeting, Neuroscience
2007, San Diego, CA: presentation 925.7, poster entitled: Spontaneous
Episodic
Activity: Why Episode Duration is Correlated with the Length
of the Preceding but not Following Interval, with
co-authors Joël Tabak and Richard Bertram. (November, 2007)
MCM2007: The Sixth IMACS Seminar on Monte Carlo Methods,
Reading University, Reading, UK: 30-minute contributed talk
(presented by co-author Bart Vandewoestyne) entitled: An
Empirical Investigation of Different Scrambling Methods for
Faure Sequences. (June, 2007)
MCM2007: The Sixth IMACS Seminar on Monte Carlo Methods,
Reading University, Reading, UK: 30-minute contributed talk
entitled: Monte Carlo Methods for Calculating Coefficient
Dependence in Poisson-Boltzmann Problems. (June, 2007)
MCM2007: The Sixth IMACS Seminar on Monte Carlo Methods,
Reading University, Reading, UK: 30-minute contributed talk on
behalf of Wesley Petersen entitled: Playing with Parallelism with
Playstations. (June, 2007)
GFMC40: A Symposium Celebrating 40 Years of Green's
Function Monte Carlo, Courant Institute of Mathematical
Sciences, New York University, New York, NY: 15-minute
contributed talk entitled: Monte Carlo Methods for Partial Differential
Equations. (May, 2007)
Applications of Mathematics in Biology, Physiology, and
Medicine, Courant Institute of Mathematical Sciences, New York
University, New York, NY: 30-minute contributed talk entitled:
Using Simple SDEs
(Stochastic Differential Equations) to Solve Complicated
PDEs (Partial Differential Equations). (October,
2006)
Schweizer Numerik Kolloquium/Colloque Numérique Suisse 2006,
Ecole Polytechnique Fédérale de Lausanne
(EPFL), Swiss Federal
Institute of Technology,
Chaire d'Analyse et Simulation Numériques, Institut d'Analyse
et Calcul Scientifique, Lausanne, Switzerland:
contributed poster entitled: Monte Carlo Methods for Partial
Differential Equations: Computing Permeability. (April,
2006)
International Conference on Differential Equations: From
Theory to Computational Science and Engineering, Eidgenössische
Technische Hochschule (ETH Zürich), Swiss Federal Institute of
Technology, Zürich, Switzerland: 30-minute contributed talk
entitled: Stochastic Method for Elliptic Problems:
Applications to Biological and Materials Science. (October,
2005)
Fifth IMACS Seminar on Monte Carlo Methods: MCM2005, Florida
State University, Tallahassee, FL: 25-minute contributed talk
(presented by co-author Hongmei Chi) entitled: Combined LCGs
with Sophie-Germain Moduli. (May, 2005)
Fifth IMACS Seminar on Monte Carlo Methods: MCM2005, Florida
State University, Tallahassee, FL: 25-minute contributed talk
(presented by co-author Yaohang Li) entitled: Test of the
Rule 30 Cellular Automata Random Number Generator. (May,
2005)
Fifth IMACS Seminar on Monte Carlo Methods: MCM2005, Florida
State University, Tallahassee, FL: 25-minute contributed talk
(presented by co-author Abdujabor Rasulov) entitled: Monte
Carlo Solution of Initial Boundary Problem for Some Nonlinear
Parabolic Equations. (May, 2005)
Fifth IMACS Seminar on Monte Carlo Methods: MCM2005, Florida
State University, Tallahassee, FL: 25-minute contributed talk
entitled: Monte Carlo Applications on the Computational
Grid. (May, 2005)
Fifth IMACS Seminar on Monte Carlo Methods: MCM2005, Florida
State University, Tallahassee, FL: 25-minute contributed talk
(presented by co-author Nikolai Simonov) entitled: Random
Walk Algorithms for Solving some Boundary-Value Problems in
Biomolecular Electrostatics. (May, 2005)
Algorithmes et Applications Paralleles en Algebre Linear
(Parallel Matrix Algorithms and Applications): PMAA04, Centre
International de Rencontres Mathématiques (CIRM), Luminy,
France: 25-minute contributed talk entitled: A Monte Carlo
Scheme for Load Balancing. (October, 2004)
International Association for the Development of the
Information Society (IADIS) International Conference: e-Society
2004, Avila, Spain: 30-minute contributed talk entitled: E-Science
Workflow on the Grid. (July, 2004)
The International Conference on Computational Mathematics,
Novosibirsk, Russia: 30-minute contributed talk (presented by
co-author Nikolai Simonov) entitled: Random Walk Algorithms
for Estimating Electrostatic Properties of Large Molecules.
(June, 2004)
Sixth International Conference on Monte Carlo and Quasi-Monte
Carlo Methods in Scientific Computing and the Second
International Conference on Monte Carlo and Probabilistic
Methods for Partial Differential Equations (MC²QMC2004), Juan-Les-Pins, France: 30-minute
contributed talk (presented by co-author Emanouil Atanassov)
entitled: Efficient Generation of Low-discrepancy
Sequences. (June, 2004)
Sixth International Conference on Monte Carlo and Quasi-Monte
Carlo Methods in Scientific Computing and the Second
International Conference on Monte Carlo and Probabilistic
Methods for Partial Differential Equations (MC²QMC2004), Juan-Les-Pins, France: 30-minute
contributed talk entitled: On the Scrambled Soboĺ Sequence. (June,
2004)
Computational Finance 2004, Bologna, Italy: 30-minute
contributed talk entitled: Optimal Quasi-Monte Carlo
Valuation of Derivative Securities. (April, 2004)
The International Conference on Computational Science, St.
Petersburg,
Russia:
30-minute
contributed
talk
(presented by co-author Nikolai Simonov) entitled: Monte
Carlo
Method for Calculating the Electrostatic Energy of a Molecule.
(June, 2003)
First International Workshop on Biomedical Computations on the
Grid-BioGrid'03, Tokyo, Japan: 30-minute contributed talk
entitled: Grid-based Nonequilibrium Multiple-Time Scale
Molecular Dynamics/Brownian Dynamics Simulations of
Ligand-Receptor Interactions in Structured Protein
Systems. (May, 2003)
Third IEEE/ACM International Symposium on Cluster Computing
and the Grid-CCGrid2003, Tokyo, Japan, 30-minute contributed
talk entitled: Improving Performance via Computational
Replication on a Large-Scale Computational Grid.
(May, 2003)
Grid Computing-GRID 2002, Baltimore, MD: 30-minute contributed
talk (presented by co-author Yaohang Li) entitled: Grid-Based
Monte Carlo Application. (November, 2002)
The International Conference on Computational Mathematics,
Novosibirsk, Russia: 30-minute contributed talk (presented by
co-author Nikolai Simonov) entitled: Random Walk on the
Boundary Methods for Computing Reaction Rate and Capacitance.
(June, 2002)
The American Physical Society Annual Meeting, Indianapolis,
Indiana: 20-minute contributed talk (presented by co-author
Chi-Ok Hwang) entitled: First- and Last-passage Algorithms
for Charge Density Calculations on a Conducting Surface.
(March, 2002).
Third IMACS Seminar on Monte Carlo Methods, Salzburg, Austria:
35-minute contributed talk entitled: First- and Last-Passage
Diffusion: Key Concepts in the Study of Porous and Composite
Media. (September, 2001)
Third IMACS Seminar on Monte Carlo Methods, Salzburg, Austria:
30-minute contributed talk entitled: A Feynman-Kac
Path-Integral Implementation for Poisson's Equation Using an
h-conditioned Green's Function. (September, 2001)
Fourth International Conference on Monte Carlo and Quasi-Monte
Carlo Methods in Scientific Computing, Hong Kong, China:
25-minute contributed talk entitled: Parallel Quasi-Monte
Carlo Methods for Computing Extremal Eigenvalues.
(November 2000)
International Conference on Parallel Processing 2000 Workshop
on Scalable Web Services, Toronto, Canada: 30-minute contributed
talk entitled: The Cycle Server: A Web Platform for Running
Parallel Monte Carlo Applications on a Heterogeneous Condor
Pool of Workstations. (August, 2000)
International Conference on Monte Carlo and Probabilistic
Methods for Partial Differential Equations, Monte Carlo, Monaco:
30-minute contributed talk entitled: Quasi-Monte Carlo for
Elliptic Boundary Value Problems. (July, 2000)
International Conference on Monte Carlo and Probabilistic
Methods for Partial Differential Equations, Monte Carlo, Monaco:
30-minute contributed talk entitled: A New Fluid
Permeability Estimation in Period Grain Consolidation Models
of Overlapping and Nonoverlapping Sphere Models of Porous
Media. (July, 2000)
International Conference on Monte Carlo Simulations,Monte
Carlo,
Monaco:
30-minute
contributed
talk
entitled: Parallel Inversive Congruential Generators:
Software and Field-Programmable Gate Array Implementations.
(June,
2000)
Ninth SIAM Conference on Parallel Processing for Scientific
Computing, San Antonio, TX: Organizer and participant in a
2-hour Minisymposium entitled: Algorithms and Software for
Parallel and Distributed Monte Carlo Computations. (March
,1999)
First Southern Symposium on Computing, Hattiesburg, MS:
Organizer, moderator, and participant in a 2-hour Minisymposium
entitled: Random Number Generation and Monte Carlo Research
at USM. (December 1998)
SC'98, Orlando, FL: Organizer, moderator, and
participant in a 150-minute panel entitled: Producing
Computational Science Students Ready to Work. (November,
1998)
Third International Conference on Monte Carlo and Quasi-Monte
Carlo Methods in Scientific Computing, Claremont, CA: 25-minute
talk entitled:SPRNG: A Scalable Library for
Monte Carlo Applications. (July, 1998)
Third International Conference on Monte Carlo and Quasi Monte
Carlo Methods in Scientific Computing, Claremont, CA: 25-minute
talk entitled: Testing Parallel Random Number Generators,
presented by joint author A. Srinivasan. (July, 1998)
SIAM 1997 Annual Meeting, Stanford, CA; 15-minute talk
entitled: A Non-linear Fibonacci Pseudorandom Number
Generator. (July, 1997)
Seventh SIAM Conference on Parallel Processing for Scientific
Computing, San Francisco, CA; 20-minute talk entitled: An
Analysis of the Parallel Computation of Arbitrarily Branched
Cable Neuron Models. (March, 1995)
Seventh SIAM Conference on Parallel Processing for Scientific
Computing, San Francisco, CA; 20-minute talk entitled: Techniques
for
Testing the Quality of Parallel Pseudorandom Number Generators,
presented by joint author S. Cuccaro. (March, 1995)
Supercomputing '94, Washington, D.C.: 30-minute talk entitled:
Implementation and Usage of a Portable and Reproducible
Parallel Pseudorandom Number Generators, presented by
joint author D. Pryor. (November, 1994)
SIAM 1994 Annual Meeting, San Diego, CA; 15-minute talk
entitled: Two Domain Decompositions Yield an Effective
Vector/Parallel Algorithm for Nerve Equations on Branching
One-Dimensional Domains. (August, 1994)
Monte Carlo and Quasi-Monte Carlo Methods in Scientific
Computing, University of Nevada, Las Vegas: 20-minute talk
entitled: A Fast, High Quality, and Reproducible Parallel
Lagged-Fibonacci Pseudorandom Number Generator. (June,
1994)
Sixth SIAM Conference on Parallel Processing for Scientific
Computing, Norfolk, VA; 30-minute talk entitled: Recent
Developments in Parallel Pseudorandom Number Generation.
(March,
1993)
1992 Gordon Research Conference on "Software Tools and
Libraries for Concurrent Supercomputing'', Plymouth, NH; poster
entitled: A Deterministic and Reproducible Lagged-Fibonacci
Pseudorandom Number Generator. (July, 1992)
SIAM 1992 Annual Meeting, Los Angeles, CA; contributed talk
entitled: A Gradient Random Walk Method for Two-Dimensional
Reaction-Diffusion Equations. (June, 1992)
NSF/CBMS Regional Research Conference on Multigrid and
Multilevel Adaptive Methods for Partial Differential Equations,
Washington, D.C.; talk entitled: Towards Monte Carlo
Multigrid Methods. (May, 1992)
UMIACS Workshop on Massively Parallel Computing, University of
Maryland, College Park, MD: talk entitled: Monte Carlo
Multigrid Methods. (April, 1992)
Fourth SIAM Conference on Parallel Processing for Scientific
Computing, Chicago, IL: poster entitled: A New Monte Carlo
Algorithm for Solving Elliptic Problems on Massively Parallel
Computers. (December, 1991)
Sixth Parallel Circus, Courant Institute of Mathematical
Sciences, NYU, New York, NY: talk entitled: Parallel Wiener
Integral Methods for Elliptic Boundary Value Problems.
(March,
1988)
Society for Neuroscience 1987 Annual Meeting, New Orleans, LA:
poster entitled: Computer Studies of Negative Feedback in
the Nervous System. (September, 1987)
Tutorials:
Research and Development Center for Data Assimilation,
Institute for Statistical Mathematics, Tachikawa, Tokyo, Japan:
Five hours of lectures Monte Carlo methods in a short course on
Brownian Motion and Partial
Differential Equations. (December, 2016)
The 2016 Conference on High-Performance Computing and
Simulation (HPCS2014), Hilton Hotel, Innsbruck, Austria:
Six-hour tutorial entitled Monte
Carlo Methods and High-Performance. (July, 2016)
Beijing Computational Science Research Center (CSRC), Beijing,
People's Republic of China, Organized a summer short course on Monte
Carlo Methods, and gave four hours of lectures. (July,
2016)
Supercomputing Frontiers 2015, A*STAR Computational Resource
Centre, Singapore: Four hour tutorial entitled Monte Carlo
Methods and High-Performance. (March, 2015)
The 2014 Conference on High-Performance Computing and
Simulation (HPCS2014), Savoia Hotel Regency, Bologna, Italy:
Three hour tutorial entitled Monte
Carlo Methods and High-Performance. (July, 2014)
Institute of Computational Mathematics, Academy of Mathematics
and Systems Science, Chinese Academy of Sciences, Beijing,
People's Republic of China: Six hours of lectures on Monte Carlo
methods and high-performance computing in a short-course
entitled High-Performance
Monte Carlo with Emphasis on Partial Differential Equations.
(April, 2013)
Research and Development Center for Data Assimilation,
Institute for Statistical Mathematics, Tachikawa, Tokyo, Japan:
Five hours of lectures Monte Carlo methods in a short course on
Monte Carlo Methods for
Partial Differential Equations. (February, 2013)
Supercomputing Center of the Computer Network Information
Center, Chinese Academy of Sciences, Beijing, People's Republic
of China: Twelve hours of lectures Monte Carlo methods and
random number generation in the Computer Network Information Center(CNIC) Summer School:
Monte Carlo Methods and High-Performance Computing.
(May, 2012)
Soongsil University, Seoul, Korea: Twelve hours of lectures on
Monte Carlo methods and random number generation in the National Institute of Mathematical
Sciences (NIMS) Summer School: Stochastic/Multiscale Methods
and Applications. (June, 2010)
The Institute of Statistical Mathematics, Tokyo, Japan: Three
hour tutorial entitled The Scalable Parallel Random Number
Generators (SPRNG) Library: A Tutorial. (January, 2008)
San Diego Supercomputing Center Summer Parallel Computing
Institute, University of California, San Diego, CA: Two hour
tutorial entitled Random, Pseudorandom, and Quasirandom
Numbers and Their Generation in Serial and Parallel. (August,
2000)
NATO Advanced Study Institute: Quantum Monte Carlo Methods in
Physics and Chemistry, Cornell University, Ithaca, NY: Two day
tutorial on the Scalable Parallel Random
Number Generators Library. (June, 1998)
Distributed Memory Computer Conference 6, Portland, OR;
half-day tutorial entitled Monte Carlo for Partial
Differential Equations: Highly Parallel Methods Based on
Statistical Sampling. (April, 1991)
Supercomputing '90: New York, NY: A full-day tutorial entitled
Monte Carlo for Partial Differential Equations: Highly
Parallel Methods Based on Statistical Sampling. (November,
1990)
Research Grants:
National Institute of Standards and Technology (NIST,
Information Technology Office, Building The Future award for Standardizing
Computational Reproducibility, to Dr. Michael Mascagni,
January 1, 2015 to September 30, 2015 at NIST, $123000 support
for a post-doctoral researcher and a workshop on numerical
reproducibility.
Intel Corporation, donation of a dual processor,
16-core (32 cores total) Xeon Ivy Bridge computer with 64GB of
memory and with the Intel MIC (Phi) card to Dr. Michael
Mascagni, July 1, 2013 worth $15000.
Nvidia Corporation, donation of a Tesla K20 GPGPU to Dr.
Michael Mascagni, April 15, 2013 worth $3000.
U. S. Department of Education, Graduate Assistantships in
Areas of National Need (GAANN) entitled Computer Science GAANN
Fellowships for Florida State University, Michael
Mascagni, Principal Investigator, $400,000 for three years
beginning September 1, 2012 at Florida State University.
Person months committed: Calendar Year: 1.0, Academic
Year: 0.5, Summer Period: 0.5, no summer support.
Intel Corporation, donation of a Ivy Bridge computer to Dr.
Michael Mascagni, July 1, 2012 worth $2000.
U. S. National Aeronautics and Space Administration (NASA),
Small BusinessInnovation Research and Technology
Transfer (SBIR) Phase I proposal entitled High-Quality Random Number
Generation Software for High-Performance Computing,
Michael Mascagni, Principal Investigator for a subcontract from
prime contractor, Daniel H. Wagner Associates, Inc., $34,420.00
for six months beginning 1 March, 2012 at Florida State
University. Person months committed: Calendar Year: 1.0,
Academic Year: 0.5, Summer Period: 0.5, 1..0 month summer
support.
LittleFe Project, Earlham College, Michael Mascagni, Principal
Investigator for a LittleFe computer with 12 cores and 6 GPGPUs
worth $5000.
Bulgarian National Science Fund, collaborative grant to
cooperate with the Department of Grid Technologies and
Applications, Institute for Parallel Processing, Bulgarian
Academy of Sciences, Grant #DO02-146 entitled Advanced Quasi-Monte Carlo Grid
Computing - Framework, Libraries, Pilot Grid Applications, Michael
Mascagni, Florida State University Contact, beginning January
2008 at the Florida State University.
Japan Society for Promotion of Science (JSPS) Core-to-Core
Program, collaborative grant to cooperate in a multi-national
research effort headed at the University of Hiroshima's
Department of Mathematics and entitled New Developments of
Arithmetic Geometry, Motive, Galois Theory, and Their
Practical Applications, Michael Mascagni, Florida State
University Contact, beginning January 2008 at the Florida State
University.
NATO Scientific Directorate, a Collaborative Linkage Grant to
link groups from FSU, the Siberian Branch of the Russian Academy
of Sciences, Berlin's Weierstrass Institute for Applied Analysis
and Stochastics, the Bulgarian, Rumanian and Turkmenian Academy
of Sciences, entitled Numerical Prediction of the Dispersal
of Contaminants in the Atmosphere and Ground,
Michael Mascagni, NATO Country Coordinator, $28,000 travel
support for 24 months beginning July 2005 at the Florida State
University.
Department of Defense, Defense University Research
Instrumentation Program (DURIP) grant entitled A Laboratory
for Distributed and Grid Computing, Michael Mascagni,
Principal Investigator, $200,000 for equipment, one year
beginning September, 2003.
NATO Scientific Directorate, a Collaborative Linkage Grant to
link groups from FSU, The Free University of Brussels, the
Siberian Branch of the Russian Academy of Sciences, Berlin's
Weierstrass Institute for Applied Analysis and Stochastics, and
the Turkmenian Academy of Sciences, entitled Stochastic and Computational Models of
Transport in Porous Media, Michael
Mascagni, NATO Country Coordinator, $25,000 travel support for
36 months beginning July 2002 at the Florida State University.
NSF International Programs, a grant entitled Cooperative
Research with Austria with Dr. Peter Hellekalek's Random
Number Generation (pLab) Group at the University of Salzburg,
Michael Mascagni, Principal Investigator, $24,000 for four
years, beginning September, 1999 at the Florida State
University.
NSF-NATO Postdoctoral Fellowship for Dr. Aneta Karaivanova of
the Central Laboratory for Parallel Processing, Bulgarian
Academy of Sciences, Michael Mascagni, host and sponsor, $44,400
for one year beginning September, 1999 at the Florida State
University.
Department of Energy, Office of Basic Energy Sciences Grant
entitled The Impact of Random Numbers on Parallel Monte
Carlo Applications, Michael Mascagni, Principal
Investigator, $150,000 for three years beginning February, 1999
at the University of Southern Mississippi.
Mississippi NASA Space Grant: University of Southern
Mississippi Subcontract, Michael Mascagni, Principal
Investigator, $37,250 per year for 1997-1999 at the University
of Southern Mississippi.
Consiglio Nazionale delle Ricerche Program for Italian and
Foreign Research Institutions: Short-term Mobility Fellowships;
Michael Mascagni with sponsorship of Renato Spigler,
Dipartimento di Matematica, Unversità di Lecce, Italy.
Travel expenses, lodging expenses, and Lit. 2,400,000, March,
1994.
Research Contracts:
Army Research Office, Mathematical and Computer Sciences
Division, Computational Mathematics proposal entitled Scrambled
Quasirandom
Numbers and Applications, Michael Mascagni, Principal
Investigator, $80,000, support for 2.5 years beginning October
1, 2006 at the Florida State University.
Army Research Office, Mathematical and Computer Sciences
Division, proposal entitled Support for the Fifth
IMACS Seminar on Monte Carlo Methods, Michael Mascagni,
Principal Investigator, $10,000 travel support for the Fifth
IMACS Seminar on Monte Carlo Methods, May 16-20, 2005, at the
Florida State University.
Lawrence Livermore National Laboratory/University of
California, Research Contract entitled Support for the Fifth
IMACS Seminar on Monte Carlo Methods, Michael Mascagni,
Principal Investigator, $10,000 support for 1 year beginning
April 1, 2005 at Florida State University.
Los Alamos National Laboratory/University of California,
Research Contract entitled Improved Methods for Random
Number Generation, Michael Mascagni, Principal
Investigator, $70,000 support for 1 year beginning October 1,
2003 at Florida State University.
Army Research Office, Mathematical and Computer Sciences
Division, Computational Mathematics contract entitled Quasi-Monte
Carlo
Methods for Markov Chain Problems, Michael Mascagni,
Principal Investigator, $249,000, support for 3 years beginning
September 1, 2001.
ASCI Level III Contract to Lawrence Livermore, Los Alamos, and
Sandia National Laboratories entitled Random Number for ASCI
Monte Carlo Applications, Michael Mascagni, Principal
Investigator, $494,921 for four years beginning October 1, 1999
at the Florida State University.
Army Research Office, Mathematical and Computer Sciences
Division, Computational Mathematics Grant entitled Quasirandom
Numbers
for Parallel and Distributed Applications, Michael
Mascagni, Principal Investigator, $487,085 for three years
beginning March 1, 1999 at the University of Southern
Mississippi with a $195,417 subcontract to the Florida State
University.
DoD High Performance Computing Modernization Office through
Northrop Grumman Data Systems, entitled Northrop Grumman
High Performance Computing Programming Environment and
Training; Michael Mascagni, Principal Investigator,
$100,000 per year for 1997-1999 at the University of Southern
Mississippi.
DARPA Contract Number DABT63-95-C-0123 for ITO: Scalable
Systems and Software, entitled A Scalable Pseudorandom
Number Generation Library for Parallel Monte Carlo
Computations; Michael Mascagni and David Ceperley
(Department of Physics, University of Illinois at
Urbana-Champaign and the National Center for Supercomputing
Applications), Principal Investigators, $607,106 for three years
beginning March 1, 1995 at the University of Illinois.
Declined Research Proposals:
FSU GAP proposal entitled Reproducible Random Number
Generation Using Unpredictable Random Numbers, Michael
Mascagni, Principal Investigator, $40,000.00 for 12
months.Person months committed: Calendar Year: 0.0, Academic
Year: 0.0, Summer Period: 0.0, 0.0 month summer support.
National Science Foundation (NSF), Small Business Technolgy
Transfer (STTR) proposal entitled Accelerating Monte
Carlo-Based Continuum Electrostatics In Structural Biology,
Michael Mascagni, Principal Investigator for a subcontract from
prime contractor, Daniel H. Wagner Associates, Inc., $75,000.00
for 12 months beginning 1 June, 2013 at Florida State
University. Person months committed: Calendar Year: 2.0,
Academic Year: 0.0, Summer Period: 2.0, 2.0 month summer
support.
U. S. National Aeronautics and Space Administration (NASA),
Small Business Innovation Research and Technology
Transfer (SBIR) Phase II proposal entitled Scalable Parallel Random Number
Generators for Multiple Architectures, Michael
Mascagni, Principal Investigator for a subcontract from prime
contractor, Daniel H. Wagner Associates, Inc., $292,030.00 for
24 months beginning 1 January, 2013 at Florida State University.
Person months committed: Calendar Year: 3.5, Academic Year: 0.5,
Summer Period: 3.0, 3.0 month summer support.
U. S. Department of Defense, Small Business Technolgy Transfer
(STTR) proposal entitled High-Quality Random Number
Generation Software for Modern High-Performance Computing
Architectures, Michael Mascagni, Principal
Investigator for a subcontract from prime contractor, Daniel
H. Wagner Associates, Inc., $50,000 for six months begining
1 October, 2010 at Florida State University. Person
months
committed:
Calendar
Year:
1.0,
Academic Year: 0.5, Summer Period: 0.5, no summer support.
U. S. Department of Education, Graduate Assistantships in
Areas of National Need (GAANN) entitled Computer Science GAANN
Fellowships for Florida State University, Michael
Mascagni, Principal Investigator, $1,647,487 for three years
beginning September 1, 2010 at Florida State University.
Person months committed: Calendar Year: 1.0, Academic
Year: 0.5, Summer Period: 0.5, no summer support.
National Institutes of Health, National Institute of General
Medical Sciences proposal entitled Computational
Biomolecular Electrostatics: Stochastic Algorithms and
Applications, Michael Mascagni and Marcia Fenley,
Principal Investigators, $1,265,370 support for 4 years
beginning April 1, 2008 at the Florida State University.
Person months committed: Calendar Year: 3.0, Academic Year: 1.0,
Summer Period: 2.0, two months summer support.
U. S. Civilian Research and Development Foundation, proposal
entitled Stochastic Computational Methods for Solving
Boundary-Value Problems in Biomolecular Chemical Physics
Applications, Michael Mascagni, U. S. Team Leader, $68,400
($11,400 local), support for 24 months beginning October 1, 2006
at the Florida State University.
U. S. Civilian Research and Development Foundation, proposal
entitled Stochastic Computational Methods for Solving
Boundary Value Problems in Biomolecular Chemistry
Applications, Michael Mascagni, U. S. Team Leader, $59,550
($11,110 local), support for 19 months beginning February 1,
2005 at the Florida State University.
NSF/CISE Information Technology Research (ITR) Program
proposal entitled Development of a Multi-Purpose Tera to
Peta Scale Collaborative Computing Facility, Michael
Mascagni, Co-Principal Investigator, $2,370,000 support for 5
years beginning October 1, 2004 at the Florida State University.
NIH, NIH Small Grant Program proposal entitled Accelerated
Rosetta, Michael Mascagni, Co-Principal Investigator,
$50,000 support for 12 months beginning on January 1, 2005, at
North Carolina A&T University.
NSF/CISE, CISE Research Infrastructure Program proposal
entitled Equipment for a Networking Environment Supporting
Security in the Extreme, Michael Mascagni, Senior
Personnel, $1,004,737 support for 60 months beginning June 1,
2004.
NSF Major Research Instrumentation Program entitled Development
of
a
Multi-purpose
Tera
to
Peta Scale Computational Facility at FSU, Michael
Mascagni, Senior Personnel, $1,540,000 support for 24
months beginning September 1, 2003.
Collaboration in Basic Science and Engineering Grant from the
National Research Council for collaboration with the Bulgarian
Academy of Sciences entitled Deterministic Construction of
Markov Chains for Enhanced Convergence: Application to
Integral Equations and Their Complexity, Michael Mascagni,
Principal Investigator, $8,200 travel support for 12 months.
NSF/CISE Research Resources grant entitled Heterogeneous
Distributed-Computing Test-Bed for Stochastic Computations,
Ashok Srinivasan and Michael Mascagni Co-Principal
Investigators, $148,320 for equipment.
NSF Information Technology Research, a grant entitled Quasirandom
Number
Generation
Software, Michael Mascagni, Principal Investigator,
$496,751 support for 36 months.
NSF Engineering Directorate, a grant entitled Advanced
Algorithms and Visualization for Computational Design and
Analysis of Transport Properties of Two-phase Materials,
Michael Mascagni, Co-Principal Investigator, $149,480 support
for 18 months.
CIS 6980: Ph.D. Dissertation, Spring 2015, Florida State
University, Department of Computer Science, 2 graduate student,
9 credits.
CIS 6900: Computational Resilience, Spring 2015, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
CIS 8966: Masters Comprehensive Exam, Fall 2014, Florida State
University, Department of Computer Science, 4 graduate students,
0 credits.
CIS 6980: Ph.D. Dissertation, Fall 2014, Florida State
University, Department of Computer Science, 2 graduate student,
9 credits.
CIS 8966: Masters Comprehensive Exam, Summer 2014, Florida
State University, Department of Computer Science, 2 graduate
students, 0 credits.
CIS 6980: Ph.D. Dissertation, Spring 2014, Florida State
University, Department of Computer Science, 1 graduate student,
9 credits.
CIS 5900: Random Number Generation, Summer 2014, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
CIS 5900: Random Number Generation, Summer 2014, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
CIS 8966: Masters Comprehensive Exam, Spring 2014, Florida
State University, Department of Computer Science, 4 graduate
students, 0 credits.
CIS 6980: Ph.D. Dissertation, Spring 2014, Florida State
University, Department of Computer Science, 1 graduate student,
9 credits.
CIS 5900: Random Number Generation, Spring 2014, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
CIS 5900: Generating Numbers Randomly, Spring 2014, Florida
State University, Department of Computer Science, 1 graduate
student, 3 credits.
CIS 5900: Random Number Theory, Spring 2014, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
CIS 5900: HPC Using Monte Carlo, Spring 2014, Florida State
University, Department of Computer Science, 1 graduate student,
9 credits.
CIS 5900: Computational Resilience, Spring 2014, Florida State
University, Department of Computer Science, 1 graduate student,
12 credits.
CIS 5900: Random Number Generation, Spring 2014, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
COT 5507: Analytic Methods for Computer
Science, Spring 2014, Florida State University,
Department of Computer Science, 25 graduate students, 3 credits.
COT 5715: Random Number Generation, Spring
2014, Florida State University, Department of
Computer Science, 25 graduate students, 3 credits.
COT 4420: Theory of Computation, Spring 2014, Florida State
University, Department of Computer Science, 31 distance
undergraduate students, 3 credits.
CIS 8985: Doctoral Dissertation Defense, Fall 2013, Florida
State University, Department of Computer Science, 1 graduate
student, 0 credits.
CIS 8966: Masters Comprehensive Exam, Fall 2013, Florida State
University, Department of Computer Science, 5 graduate students,
0 credits.
CIS 6980: Ph.D. Dissertation, Fall 2013, Florida State
University, Department of Computer Science, 1 graduate student,
9 credits.
CIS 5900: Random Number Generation, Fall 2013, Florida State
University, Department of Computer Science, 3 graduate students,
3 credits.
COP 4342: Unix Tools, Fall 2013, Florida State University,
Department of Computer Science, 27 undergraduate students, 3
credits.
CIS 5900: Computer Science IV, Fall 2013, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
CIS 5970: Masters Thesis, Fall 2013, Florida State University,
Department of Computer Science, 1 graduate student, 6 credit.
CIS 8966: Masters Comprehensive Exam, Summer 2013, Florida
State University, Department of Computer Science, 5 graduate
students, 0 credits.
CIS 6980: Ph.D. Dissertation, Summer 2013, Florida State
University, Department of Computer Science, 1 graduate student,
9 credits.
CIS 5970: Masters Thesis, Summer 2013, Florida State
University, Department of Computer Science, 1 graduate student,
6 credit.
COT 5507: Analytic Methods for Computer
Science, Summer 2013, Florida
State University, Department of Computer Science, 5 graduate
students, 3 credits.
CIS 5900: Monte Carlo and High-Performance Computing, Summer
2013, Florida State University, Department of Computer Science,
1 graduate student, 3 credits.
WEP088: Monte Carlo Methods and High-Performance Computing,
Winter Enrichment Program 2013, King Abdullah University of
Science and Technology (KAUST), Thuwal, Saudi Arabia, 40
graduate students, 6 credits.
CIS 8976: Masters Thesis Defense, Spring 2013, Florida State
University, Department of Computer Science, 1 graduate student,
0 credits.
CIS 8966: Masters Comprehensive Exam, Spring 2013, Florida
State University, Department of Computer Science, 22 graduate
students, 0 credits.
CIS 6980: Ph.D. Dissertation, Spring 2013, Florida State
University, Department of Computer Science, 2 graduate student,
9+9 credits.
CIS 6900: High Throughput Monte Carlo, Spring 2013, Florida
State University, Department of Computer Science, 1 graduate
student, 3 credits.
CIS 5970: Masters Thesis, Spring 2013, Florida State
University, Department of Computer Science, 1 graduate student,
6 credits.
CAP 5932: Monte Carlo Methods, Spring 2013, Florida State
University, Department of Mathematics, 1 graduate student, 3
credits.
CIS 5930: Monte Carlo Methods, Spring 2013, Florida State
University, Department of Computer Science, 15 graduate
students, 3 credits.
CIS 5900: Grid-Based Monte Carlo Methods, Spring 2013, Florida
State University, Department of Computer Science, 1 graduate
student, 3 credits.
CGS 5429: Introduction to Computer Theory, Spring 2013,
Florida State University, Department of Computer Science, 1
distance graduate student, 3 credits.
ISC 5228: Monte Carlo Methods, Spring 2013, Florida State
University, Department of Scientific Computing, 3 graduate
students, 3 credits.
COT 4420: Theory of Computation, Spring 2013, Florida State
University, Department of Computer Science, 27 distance
undergraduate students, 3 credits.
CIS 8976: Masters Thesis Defense, Fall 2012, Florida State
University, Department of Computer Science, 1 graduate student,
0 credits.
CIS 8966: Masters Comprehensive Exam, Fall 2012, Florida State
University, Department of Computer Science, 5 graduate students,
0 credits.
CIS 6980: Ph.D. Dissertation, Fall 2012, Florida State
University, Department of Computer Science, 2 graduate student2,
9+9 credits.
CIS 6900: High Throughput Monte Carlo, Fall 2012, Florida
State University, Department of Computer Science, 1 graduate
student, 3 credits.
CIS 5970: Masters Thesis, Fall 2012, Florida State University,
Department of Computer Science, 3 graduate students, 9+6+6
credits.
COT 5507: Analytic Methods for Computer
Science, Fall 2012, Florida State University,
Department of Computer Science, 21 graduate students, 3 credits.
CGS 5427: Algorithm Design and Analysis, Fall 2012, Florida
State University, Department of Computer Science, 4 graduate
students, 3 credits.
COP 4531: Complexity and Analysis of Algorithms and Data
Structures, Fall 2012, Florida State University, Department of
Computer Science, 43 undergraduate students, 3 credits.
CIS 6980: Ph.D. Dissertation, Summer 2012, Florida State
University, Department of Computer Science, 2 graduate students,
9+9 credits.
CIS 6900: Random Number Research, Summer 2012, Florida State
University, Department of Computer Science, 1 graduate student,
1 credit.
CIS 5970: Masters Thesis, Summer 2012, Florida State
University, Department of Computer Science, 2 graduate students,
6+3 credits.
CIS 5930: Parallel and Distributed Monte Carlo Methods, Summer
2012, Florida State University, Department of Computer Science,
14 graduate students, 3 credits.
CIS 5900: Special Topics in Monte Carlo Methods, Summer 2012,
Florida State University, Department of Computer Science, 1
graduate student, 3 credits.
CIS 4930: Parallel and Distributed Monte Carlo Methods, Summer
2012, Florida State University, Department of Computer Science,
1 undergraduate student, 3 credits.
CIS 8966: Masters Comprehensive Exam, Spring 2012, Florida
State University, Department of Computer Science, 2 graduate
students, 0 credits.
CIS 6980: Ph.D. Dissertation, Spring 2012, Florida State
University, Department of Computer Science, 2 graduate students,
9+9 credits.
CIS 5970: Masters Thesis, Spring 2012, Florida State
University, Department of Computer Science, 2 graduate students,
6+3 credits.
CIS 5900: Hardware Random Number Generation, Spring 2012,
Florida State University, Department of Computer Science, 1
graduate student, 3 credits.
CIS 5900: Monte Carlo Linear Algebra, Spring 2012, Florida
State University, Department of Computer Science, 1 graduate
student, 3 credits.
COT 5507: Analytic Methods for Computer
Science, Spring 2012, Florida State University,
Department of Computer Science, 19 graduate students, 3 credits.
COT 5715: Random Number Generation, Spring
2012, Florida State University, Department of
Computer Science, 8 graduate students, 3 credits.
CGS 5429: Introduction to Computer Theory, Spring 2012,
Florida State University, Department of Computer Science, 3
distance graduate students, 3 credits.
COT 4420: Theory of Computation, Spring 2012, Florida State
University, Department of Computer Science, 26 distance
undergraduate students, 3 credits.
CIS 4930: Quantum Computing, Spring 2012, Florida State
University, Department of Computer Science, 1 undergraduate
student, 3 credits.
CIS 8976: Masters Thesis Defense, Fall 2011, Florida State
University, Department of Computer Science, 1 graduate student,
0 credits.
CIS 8966: Masters Comprehensive Exam, Fall 2011, Florida State
University, Department of Computer Science, 6 graduate students,
0 credits.
CIS 6980: Ph.D. Dissertation, Fall 2011, Florida State
University, Department of Computer Science, 1 graduate student,
9 credits.
CIS 5970: Masters Thesis, Fall 2011, Florida State University,
Department of Computer Science, 2 graduate student, 9+6 credits.
CIS 5900: Monte Carlo Methods, Fall 2011, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
CIS 5900: Uncertainty and Randomness, Fall 2011, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
CIS 5900: Database Research, Fall 2011, Florida State
University, Department of Computer Science, 1 graduate student,
6 credits.
CGS 5427: Algorithm Design and Analysis, Fall 2011, Florida
State University, Department of Computer Science, 11 graduate
students, 3 credits.
COP 4531: Complexity and Analysis of Algorithms and Data
Structures, Fall 2011, Florida State University, Department of
Computer Science, 33 undergraduate students, 3 credits.
CIS 8966: Masters Comprehensive Exam, Summer 2011, Florida
State University, Department of Computer Science, 1 graduate
student, 0 credits.
CIS 8964: Ph.D. Preliminary Exam, Summer 2011, Florida State
University, Department of Computer Science, 2 graduate students,
0 credits.
CIS 6980: Ph.D. Dissertation, Summer 2011, Florida State
University, Department of Computer Science, 1 graduate student,
9 credits.
CIS 5970: Masters Thesis, Summer 2011, Florida State
University, Department of Computer Science, 2 graduate student,
9+2 credits.
ISC 5228/CIS 5930: Monte Carlo Methods, Summer 2011, Florida
State University, Department of Computer Science, 16 graduate
student, 3 credits.
CIS 5900: Monte Carlo Methods, Summer 2011, Florida State
University, Department of Computer Science, 1 graduate student,
6 credits.
CIS 5900: Random Methods, Summer 2011, Florida State
University, Department of Computer Science, 1 graduate student,
9 credits.
CIS 4930: Monte Carlo Methods, Summer 2011, Florida State
University, Department of Computer Science, 3 undergraduate
students, 3 credits.
CIS 5900: Random Number Applications, Spring 2011, Florida
State University, Department of Computer Science, 1 graduate
student, 6 credits.
CIS 8974: Masters Project Defense, Spring 2011, Florida State
University, Department of Computer Science, 1 graduate students,
0 credits.
CIS 8966: Masters Comprehensive, Spring 2011, Florida State
University, Department of Computer Science, 2 graduate students,
0 credits.
CIS 5970: Masters Thesis, Spring 2011, Florida State
University, Department of Computer Science, 2 graduate student,
3 credits per student.
CIS 5900: Leaping Random Numbers, Spring 2011, Florida State
University, Department of Computer Science, 1 graduate student,
9 credits.
COT 5507: Analytic Methods for Computer
Science, Spring 2011, Florida State University,
Department of Computer Science, 14 graduate students, 3
credits.
CIS 8966: Masters Comprehensive Exam, Fall 2010, Florida State
University, Department of Computer Science, 1 graduate students,
0 credits.
CIS 6900: Algorithms Research, Fall 2010, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
CIS 5970: Masters Thesis, Fall 2010, Florida State
University, Department of Computer Science, 2 graduate student,
3 credits per student.
CIS 5900: Random Number Research, Fall 2010, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
CIS 5900: Generating Random Numbers, Fall 2010, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
CGS 5427: Algorithm Design and Analysis, Fall 2010, Florida
State University, Department of Computer Science, 6 graduate
students, 3 credits.
CIS 5371: Cryptography, Fall 2010, Florida State University,
Department of Computer Science, 23 graduate students, 3 credits.
COP 4531: Complexity and Analysis of Algorithms and Data
Structures, Fall 2010, Florida State University, Department of
Computer Science, 30 undergraduate students, 3 credits.
CIS 8966: Masters Comprehensive, Summer 2010, Florida State
University, Department of Computer Science, 1 graduate student,
0 credits.
CIS 5970: Masters Thesis, Summer 2010, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
CIS 5900: Random Numbers, Summer 2010, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
CIS 8966: Masters Comprehensive, Spring 2010, Florida State
University, Department of Computer Science, 8 graduate students,
0 credits.
CIS 5970: Masters Thesis, Spring 2010, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
CIS 5900: Random Numbers, Spring 2010, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
COT 5507: Analytic Methods for Computer
Science, Spring 2010, Florida State University,
Department of Computer Science, 9 graduate students, 3
credits.
MAT 8985: Dissertation Defense, Spring 2010, Florida State
University, Department of Mathematics, 1 graduate student, 0
credits.
MAT 6980: Dissertation, Spring 2010, Florida State University,
Department of Mathematics, 1 graduate student, 9 credits.
WE246: Random Number Generation, Winter Enrichment Program
2010, King Abdullah University of Science and Technology
(KAUST), Thuwal, Saudi Arabia, 50 graduate students, 0 credits.
CIS
8966:
Masters
Comprehensive
Exam,
Fall
2009,
Florida State University, Department of Computer Science, 1
graduate students, 0 credits.
CIS
5970:
Masters
Thesis,
Fall
2009, Florida State University, Department of Computer
Science, 1 graduate student, 3 credits.
COT 5715: Random Number Generation, Fall 2009, Florida State University, Department
of Computer Science, 14 graduate students, 3 credits.
CIS 5930: Random Number Generation (DIS), Fall 2009, Florida State University, Department
of Computer Science, 1 graduate student, 3 credits.
CIS
5900:
Random
Number
Techniques,
Fall
2009,
Florida State University, Department of Computer Science, 1
graduate student, 3 credits.
CIS
5900:
Computer
Science
Infrastructure,
Fall
2009,
Florida State University, Department of Computer Science, 1
graduate student, 3 credits.
CGS 5427: Algorithm Design and Analysis, Fall 2009, Florida
State University, Department of Computer Science, 3 graduate
students, 3 credits.
COP 4531: Complexity and Analysis of Algorithms and Data
Structures, Fall 2009, Florida State University, Department of
Computer Science, 13 undergraduate students, 3 credits.
CIS 5930: Monte Carlo Methods,
Summer Session B 2009, Florida State University, Department
of Computer Science, 6 graduate students, 3 credits.
MAP 5932: Monte Carlo Methods,
Summer Session B 2009, Florida State University,
Department of Mathematics, 8 graduate students, 3 credits.
CIS 3943: Computer Science Internship I, Summer Session A
2009,
Florida State University, Department of Computer Science, 1
undergraduate students, 3 credits.
CIS
8976:
Masters
Thesis
Defense,
Spring 2009,
Florida State University, Department of Computer Science, 1
graduate students, 0 credits.
CIS
5970:
Masters
Thesis,
Spring
2009, Florida State University, Department of Computer
Science, 1 graduate student, 3 credits.
CIS
5900:
Design
of
Algorithms,
Spring 2009,
Florida State University, Department of Computer Science, 1
graduate student, 3 credits.
COT 5507: Analytic Methods for Computer Science,
Spring 2009, Florida State University, Department of
Computer Science, 17 graduate students, 3 credits.
CGS
5427:
Algorithm
Design
and
Analysis,
Spring 2009, Florida State University, Department of Computer
Science, 5 graduate students, 3 credits.
COP
4531:
Complexity
and
Analysis
of
Algorithms and Data Structures, Spring 2009, Florida State
University, Department of Computer Science, 23 undergraduate
students, 3 credits.
CIS
5970:
Masters
Thesis,
Fall
2008, Florida State University, Department of Computer
Science, 1 graduate student, 3 credits.
CIS
5900:
Category
Theory,
Fall
2008, Florida State University, Department of Computer
Science, 1 graduate student, 3 credits.
CIS
5900:
Computational
Methods,
Fall
2008, Florida State University, Department of Computer
Science, 1 graduate student, 3 credits.
CIS
5900:
Programming
Structure,
Fall
2008, Florida State University, Department of Computer
Science, 1 graduate student, 1 credit.
CGS 5429: Introduction to Computer Theory, Fall 2008, Florida
State University, Department of Computer Science, 12 graduate
students, 3 credits.
COT 4420: Theory of Computation, Fall 2008, Florida State
University, Department of Computer Science, 20 undergraduate
students, 3 credits.
CIS 5970: Masters Thesis, Summer 2008, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
CIS 5930: Random Number Generation, Summer 2008, Florida State
University, Department of Computer Science, 6 graduate students,
3 credits.
CIS 5915: Graduate Software Project, Summer 2008, Florida
State University, Department of Computer Science, 1 graduate
student, 3 credits.
MAD 5932: Random Number Generation, Summer 2008, Florida State
University, Department of Computer Science, 2 graduate students,
3 credits.
CIS 4930: Random Number Generation, Summer 2008, Florida State
University, Department of Computer Science, 1 undergraduate
student, 3 credits.
CIS 6900: Geometrical Problems in Monte Carlo, Spring 2008,
Florida State University, Department of Computer Science, 1
graduate student, 3 credits.
CIS 5970: Masters Thesis, Spring 2008, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
CIS 5915: Graduate Software Project, Spring 2008, Florida
State University, Department of Computer Science, 1 graduate
student, 3 credits.
COT 5507: Analytic Methods for Computer
Science, Spring 2008, Florida State University,
Department of Computer Science, 21 graduate students, 3
credits.
CIS 8974: MS Projects Defense, Fall 2007, Florida State
University, Department of Computer Science, 1 graduate student,
0 credits.
CIS 5915: Graduate Software Project, Fall 2007, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
MAD 5932: Monte Carlo Methods, Fall 2007, Florida
State
University,
Department
of
Mathematics,
9 graduate students, 3 credits.
CIS 5930: Monte Carlo Methods, Fall 2007, Florida
State
University,
Department
of
Computer
Science, 6 graduate students, 3 credits.
CGS 5429: Introduction to Computer Theory, Fall 2007, Florida
State University, Department of Computer Science, 10 graduate
students, 3 credits.
COT 4420: Theory of Computation, Fall 2007, Florida State
University, Department of Computer Science, 26 undergraduate
students, 3 credits.
CIS 5970: Masters Thesis, Spring 2007, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
CIS 5900: Biochemical Monte Carlo Methods (Directed Individual
Study), Spring 2007, Florida State University, Department of
Computer Science, 1 graduate student, 3 credits.
COT 5507: Analytic Methods for Computer
Science, Spring 2007, Florida State University,
Department of Computer Science, 20 graduate students, 3
credits.
CGS 5429: Introduction to Computer Theory, Spring 2007,
Florida State University, Department of Computer Science, 2
graduate students, 3 credits.
COT 4420: Theory of Computation, Spring 2007, Florida State
University, Department of Computer Science, 35 undergraduate
students, 3 credits.
CIS 8976: Masters Thesis Defense, Fall 2006, Florida State
University, Department of Computer Science, 1 graduate students,
0 credits.
CIS 5970: Masters Thesis, Fall 2006, Florida State University,
Department of Computer Science, 1 graduate student, 2 credits.
CGS 5427: Algorithm Design and Analysis, Fall 2006, Florida
State University, Department of Computer Science, 4 graduate
students, 3 credits.
COP 4531: Complexity and Analysis of Algorithms and Data
Structures, Fall 2006, Florida State University, Department of
Computer Science, 12 undergraduate students, 3 credits.
Doctoral Examination, Sommersemester 2006, Eidgenössische
Technische Hochschule (ETH), Departments of Mathematics and
Mechanical Engineering, 1 graduate student.
401-3470-00 G: Advanced Monte Carlo Methods II, Sommersemester
2006, Eidgenössische Technische Hochschule (ETH), Department of
Mathematics, Seminar for Applied Mathematics, 12 graduate
students, 3 credits.
401-3469-00 G: Advanced Monte Carlo Methods I, Wintersemester
2005-6, Eidgenössische Technische Hochschule (ETH), Department
of Mathematics, Seminar for Applied Mathematics, 12 graduate
students, 3 credits.
CIS 5970: Masters Thesis, Spring 2006, Florida State
University, Department of Computer Science, 1 graduate student,
2 credits.
CIS 5970: Masters Thesis, Fall 2005, Florida State University,
Department of Computer Science, 1 graduate student, 2 credits.
CIS 5900: Monte Carlo Methods for Partial Differential
Equations, Summer 2005, Florida State University, Department of
Computer Science, 1 graduate student, 2 credits.
COT 5507: Analytic Methods for Computer
Science, Summer 2005, Florida State University,
Department of Computer Science, 8 graduate students, 3
credits.
CIS 5970: Masters Thesis, Summer 2005, Florida State
University, Department of Computer Science, 1 graduate student,
2 credits.
COP 4531: Complexity and Analysis of Algorithms and Data
Structures, Spring 2005, Florida State University, Department of
Computer Science, 41 undergraduate students, 3 credits.
CGS 5427: Algorithm Design and Analysis, Spring 2004, Florida
State University, Department of Computer Science, 3 graduate
students, 3 credits.
CIS 5970: Masters Thesis, Spring 2005, Florida State
University, Department of Computer Science, 2 graduate students,
3 credits.
CIS 4933: Honors Work, Fall 2004, Florida State University,
Department of Computer Science, 1 undergraduate student, 3
credits.
COT 5507: Analytic Methods for Computer
Science, Fall 2004, Florida State University,
Department of Computer Science, 16 graduate students, 2
undergraduate students, 3 credits.
CIS 4933: Honors Work, Summer 2004, Florida State University,
Department of Computer Science, 1 undergraduate student, 3
credits.
CIS 5900: Monte Carlo Methods in Computer Science, Summer
2004, Florida State University, Department of Computer Science,
1 graduate student, 4 credits.
CIS 5970: Masters Thesis, Spring 2004, Florida State
University, Department of Computer Science, 2 graduate students,
5/3 credits.
CIS 6980: Doctoral Dissertation, Spring 2004, Florida State
University, Department of Computer Science, 1 graduate students,
2 credits.
CIS 8976: Masters Thesis Defense, Spring 2004, Florida State
University, Department of Computer Science, 2 graduate students,
0 credits.
COP 4531: Complexity and Analysis of Algorithms and Data
Structures, Spring 2004, Florida State University, Department of
Computer Science, 74 undergraduate students, 3 credits.
CGS 5427: Algorithm Design and Analysis, Spring 2004, Florida
State University, Department of Computer Science, 2 graduate
students, 3 credits.
CIS 6980: Doctoral Dissertation, Spring 2004, Florida State
University, Department of Computer Science, 1 graduate student,
9 credits.
CIS 8985: Doctoral Dissertation Defense, Spring 2004, Florida
State University, Department of Computer Science, 1 graduate
student, 0 credits.
CIS 5930: Analytic Methods for Computer
Science, Fall 2003, Florida State University,
Department of Computer Science, 5 graduate students, 3 credits.
CIS 5970: Masters Thesis, Fall 2003, Florida State University,
Department of Computer Science, 2 graduate students, 3/2
credits.
CIS 6980: Doctoral Dissertation, Fall 2003, Florida State
University, Department of Computer Science, 1 graduate student,
9 credits.
CIS 8976: Masters Thesis Defense, Fall 2003, Florida State
University, Department of Computer Science, 1 graduate student,
0 credits.
CIS 8985: Doctoral Dissertation Defense, Summer 2003, Florida
State University, Department of Computer Science, 1 graduate
student, 0 credits.
CIS 6980: Doctoral Dissertation, Summer 2003, Florida State
University, Department of Computer Science, 2 graduate students,
9/1 credits.
CIS 5970: Masters Thesis, Summer 2003, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
MAT 6908: Particle Methods, Summer 2003, Florida State
University, Department of Computer Science, 1 graduate student,
5 credits.
COP 4531: Complexity and Analysis of Algorithms and Data
Structures, Spring 2003, Florida State University, Department of
Computer Science, 68 undergraduate students, 3 credits.
COP 4531: Complexity and Analysis of Algorithms and Data
Structures, Spring 2003, Florida State University, Department of
Computer Science, 9 distance undergraduate students, 3 credits.
CGS 5427: Algorithm Design and Analysis, Spring 2003, Florida
State University, Department of Computer Science, 4 graduate
students, 3 credits.
CIS 5940: Supervised Teaching, Spring 2003, Florida State
University, Department of Computer Science, 1 graduate student,
3 credits.
CIS 5970: Masters Thesis, Spring 2003, Florida State
University, Department of Computer Science, 2 graduate students,
6/1 credits.
CIS 6900: Scrambled Quasirandom Number Generation, Spring
2003, Florida State University, Department of Computer Science,
1 graduate student, 9 credits.
CIS 6980: Doctoral Dissertation, Spring 2003, Florida State
University, Department of Computer Science, 1 graduate student,
6 credits.
CIS 8976: Masters Thesis Defense, Spring 2003, Florida State
University, Department of Computer Science, 2 graduate students,
0 credits.
Concentrated Special Topics Course (14 hours in
one week): Monte Carlo Methods for Partial Differential and
Integral Equations, Universität Kaiserslautern, Institut für Techno- und
Wirtschaftsmathematik (ITWM), Kaiserslautern,
Germany, 20 graduate students.
CIS 5930: Analytic Methods for Computer
Science, Fall 2002, Florida State University,
Department of Computer Science, 10 graduate students, 3 credits.
CIS 6900: Scrambled Quasirandom Number Generation, Fall 2002,
Florida State University, Department of Computer Science, 1
graduate student, 8 credits.
CIS 6980: Doctoral Dissertation, Fall 2002, Florida State
University, Department of Computer Science, 1 graduate student,
6 credits.
880500: Concrete Mathematics (Numerische
Mathematik), Sommersemester 2002, Universität Salzburg,
Institut für Scientific Computing,
Salzburg, Austria, 6 undergraduate students.
880417: Special Topics in Scientific
Computing-Monte-Carlo Methods for Applied Computer Science
(Ausgewählte Kapitel aus Scientific Computing), Sommersemester
2002, Universität Salzburg, Institut für
Scientific Computing, Salzburg, Austria, 3 graduate students.
CIS 4900: Research in Random Numbers, Spring 2002, Florida
State University, Department of Computer Science, 1
undergraduate student.
CIS 4933: Honors Work, Spring 2002, Florida State University,
Department of Computer Science, 1 undergraduate student.
CIS 5900: Particle Methods, Spring 2002, Florida State
University, Department of Computer Science, 1 graduate student.
CIS 5970: Masters Thesis, Spring 2002, Florida State
University, Department of Computer Science, 1 graduate student.
CIS 6900: Scrambled Quasirandom Number Generation, Spring
2002, Florida State University, Department of Computer Science,
1 graduate student.
CIS 6980: Doctoral Dissertation, Spring 2002, Florida State
University, Department of Computer Science, 1 graduate student.
CIS 8976: Masters Thesis Defense, Spring 2002, Florida State
University, Department of Computer Science, 1 graduate student.
COP 4531: Complexity and Analysis of Algorithms and Data
Structures, Fall 2001, Florida State University, Department of
Computer Science, 5 undergraduate students, 3 credits.
COP 4531: Complexity and Analysis of Algorithms and Data
Structures, Fall 2001, Florida State University, Department of
Computer Science, 5 distance undergraduate students, 3 credits.
CGS 5427: Algorithm Design and Analysis, Fall 2001, Florida
State University, Department of Computer Science, 10 graduate
students 3 credits..
CIS 5900: Random Techniques in Computer Science, Fall 2001,
Florida State University, Department of Computer Science, 4
graduate students.
CIS 5970: Thesis, Fall 2001, Florida State University,
Department of Computer Science, 1 graduate student.
CIS 6900: Scrambling Quasirandom Numbers, Fall 2001, Florida
State University, Department of Computer Science, 1 graduate
student.
CIS 6900: Random Techniques in Computer Science, Fall 2001,
Florida State University, Department of Computer Science, 1
graduate student.
CIS 8966: Masters Comprehensive Examination, Summer 2001,
Florida State University, Department of Computer Science, 1
graduate student.
CIS 6980: Doctoral Dissertation, Summer 2001, Florida State
University, Department of Computer Science, 1 graduate student.
CIS 6900: Random Number Research, Summer 2001, Florida State
University, Department of Computer Science, 3 graduate students.
CIS 5970: Masters These, Summer 2001, Florida State
University, Department of Computer Science, 1 graduate student.
CIS 5915: Graduate Software Project, Summer 2001, Florida
State University, Department of Computer Science, 1 graduate
student.
CIS 5900: Research In Random Numbers, Summer I 2001, Florida
State University, Department of Computer Science, 1 graduate
student.
CIS 5915: Graduate Software Project, Summer I 2001, Florida
State University, Department of Computer Science, 1 graduate
student.
COP 4531: Complexity and Analysis of Algorithms and Data
Structures, Spring 2001, Florida State University, Department of
Computer Science, 48 undergraduate students.
COP 4531: Complexity and Analysis of Algorithms and Data
Structures, Spring 2001, Florida State University, Department of
Computer Science, 10 distance undergraduate students.
CGS 5427: Algorithm Design and Analysis, Spring 2001, Florida
State University, Department of Computer Science, 7 graduate
students.
CIS 4900: Research In Random Numbers, Spring 2001, Florida
State University, Department of Computer Science, 1
undergraduate student.
CIS 4933: Honors Work, Spring 2001, Florida State University,
Department of Computer Science, 1 undergraduate student.
CIS 5900: Research In Random Numbers, Spring 2001, Florida
State University, Department of Computer Science, 4 graduate
students.
CIS 5915: Graduate Software Project, Spring 2001, Florida
State University, Department of Computer Science, 2 graduate
students.
CIS 6900: SETI@home Research, Spring 2001, Florida State
University, Department of Computer Science, 1 graduate student.
CIS 8964: Preliminary Doctoral Examination, Spring 2001,
Florida State University, Department of Computer Science, 1
graduate student.
CIS 8966: Masters Comprehensive Examination, Spring 2001,
Florida State University, Department of Computer Science, 1
graduate student.
CIS 4933: Honors Work, Fall 2000, Florida State University,
Department of Computer Science, 1 undergraduate student.
CIS 5915: Graduate Software Research, Fall 2000, Florida State
University, Department of Computer Science, 1 graduate student.
CIS 5970: Thesis, CIS 4933: Honors Work, Fall 2000, Florida
State University, Department of Computer Science, 1 graduate
student.
CIS 5915: Graduate Software Research, Summer 2000, Florida
State University, Department of Computer Science, 1 graduate
student.
CIS 5970: Thesis, Summer 2000, Florida State University,
Department of Computer Science, 2 graduate students.
CIS 6900: Computing Set Uniformity, Summer 2000, Florida State
University, Department of Computer Science, 1 graduate student.
CIS 8966: Masters Comprehensive Examination, Summer 2000,
Florida State University, Department of Computer Science, 1
graduate student.
CIS 8976: Masters Thesis Defense, Summer 2000, Florida State
University, Department of Computer Science, 1 graduate student.
CIS 4900: Analysis of Algorithms, Fall 2000, Florida State
University, Department of Computer Science, 1 undergraduate
student.
CIS 5910: Supervised Research, Fall 2000, Florida State
University, Department of Computer Science, 1 graduate student.
CIS 5915: Graduate Software Project, Fall 2000, Florida State
University, Department of Computer Science, 1 graduate student.
CIS 6900: Monte Carlo and Financial Computing Research, Fall
2000, Florida State University, Department of Computer Science,
1 graduate student.
CGS 5427: Algorithm Design and Analysis, Fall, 1999, Florida
State University, Department of Computer Science, 20 graduate
students.
COP 4530: Analysis of Algorithms, Fall, 1999, Florida State
University, Department of Computer Science, 72 undergraduate
students.
CIS 4900: Random Number Research, Fall, 1999, Florida State
University, Department of Computer Science, 1 undergraduate
student.
CIS 5910: Supervised Research, Fall, 1999, Florida State
University, Department of Computer Science, 2 graduate students.
SC 781: Special Topics in Monte Carlo Methods, Spring 1998,
University of Southern Mississippi, Doctoral Program in
Scientific Computing: 8 graduate students.
MAT 167: Calculus I with Analytical Geometry: Spring 1997,
University of Southern Mississippi, Department of Mathematics,
32 undergraduate students.
COSC 173: Discrete Structures: Fall 1994, Georgetown
University, Department of Computer Science, 25 undergraduate
students.
Methods in Computational Neuroscience: Summer 1989, 1990,
1991, 1992: Marine Biological Laboratory, Woods Hole, MA, 30
graduate students and postdoctoral associates per year.
V22.0421: Introduction to Numerical Analysis: Spring 1986,
Spring 1987, Courant Institute of Mathematical Sciences, New
York University, Department of Computer Science, total of 53
undergraduate students.
Graduate Student Committee Memberships:
Sharanya Jayaraman, Florida State University, Department of
Computer Science, Doctoral Committee Chair (Current),
dissertation title TBD.
Manal Bayousef, Florida State University, Department of
Computer Science, Doctoral Committee Chair (Current),
dissertation title TBD.
John Thrasher, Florida State University, Department of
Computer Science, Doctoral Committee Chair (Current),
dissertation title TBD.
Asia Aljahdali, Florida State University, Department of
Computer Science, Doctoral Committee Chair, August 2017,
dissertation title: Feistel-Inspired Scrambling Improves the
Quality of Linear Congruential Generators.
Preston Hamilton, Florida State University, Department of
Computer Science, Masters Thesis Chair, December 2016, thesis
title: There & Never Back Again: A Walk-on-Subdomains
Tale.
Steven Røhr, Florida State University, Department of Computer
Science, Masters Committee Chair, December 2016, project title:
Phoenix: A Checkpointing Tool.
Joshua Beizer, Florida State University, Department of
Computer Science, Masters Committee Chair, August 2016, project
title: Speeding up TestU01 with the Use of HTCONDOR.
Christopher Ogden, Florida State University, Department of
Computer Science, Doctoral Committee Chair, August 2016,
dissertation title Soft Error Event Monte Carlo Modeling and
Simulation: Impacts of Soft Error Events on Computer Memory.
Patrick Fletcher, Florida State University, Department of
Mathematics, Doctoral Committee Member, August 2015,
dissertation title Theoretical, Computational, and
Experimental Topics in Anterior Pituitary Cell Signalling.
James McClain, Florida State University, Department of
Computer Science, Doctoral Committee Member April 2014,
dissertation entitled: On Exactitude in Geographical
Information Science.
Yue Qiu, Florida State University, Department of Computer
Science, Doctoral Committee Chair, December 2013, dissertation
title: Parallel Random Number Generation.
Travis Mackoy, Duquesne University, Pittsburgh, PA, Department
of Chemistry and Biochemistry, Doctoral Committee Member
(Current), dissertation title TBD.
Stefan Pauli, Departement Informatik (D-INF), Eidgenössische
Technische Hochschule (ETH), Zürich, Switzerland, Doctoral
Committee Member, December 2014, dissertation title: Fault
Tolerance in Multilevel Monte Carlo Methods.
Jonathan Passerat-Palmbach, Engineering Doctoral School,
Blaise Pascal University, Clermont-Ferrand, France, Doctoral
Committee Member, October 2013, dissertation title: Contributions
to Parallel Stochastic Simulation: Application to a Hybrid
Monte-Carlo Simulation.
Jie Ji, City University of New York (CUNY) Graduate Center,
Department of Computer Science, NY, NY, Doctoral Committee
Member, September 2013, dissertation entitled: Ultrafast
Pseudorandom Number Generation Using Pseudorandom Permutations and Mappings.
Samidh Chatterjee, Department
of
Computer
Science,
Doctoral Committee Member, October 2012, dissertation
entitled: Experimental Approaches to Computational
Geometric and Statistical Machine Translation Problems.
Robert Harris, Florida State University, Department of
Physics, Doctoral Committee Member, May 2012, dissertation
entitled: Comparing the
Poisson-Boltzmann Equation to Alternative Electrostatic
Theories and Improving Stochastic Techniques For Implicit
Solvent Models.
Yong-Woon
Jung, Florida State University, Department of Mathematics,
Doctoral Committee Chair, March 2010, dissertation entitled: A Computational Study of Ion
Conductance in the KcsA K+Channel
Using A Nernst-Planck Model With Explicit Resident Ions.
Richard Cosgrove, Florida State University, Department of
Computer Science, Masters Committee Chair (Current), thesis
title TBD.
Rakesh Rajappa, Florida State University, Department of
Computer Science, Masters Committee Chair (Current), project
title TBD.
Liang Li, Florida State University, Department of Computer
Science, Masters Committee Chair, August 2012, thesis entitled Testing
Several Types of Random Number Generators.
F.
Steven
Brailsford,
Florida
State
University,
Department of Computer Science, Masters Committee Chair, March
2010, thesis entitled: SPRNG
Gets a Normal Number Generator.
Haohai
Yu,
Florida
State
University,
Department
of Computer Science, Doctoral Committee Member,
August 2011, dissertation entitled:Acceleration Methods for
Bayesian Network Sampling.
Alexander Silalahi, Florida State University, Department of
Physics, Doctoral Committee Member, March 2011, dissertation
entitled: A Novel Stochastic
Poisson-Boltzmann Solver and Incorporation of Finite Ion
Sizes.
Cristina Russo, Florida State University, Molecular Biophysics
Program, Doctoral Committee Member, August 2010, dissertation
entitled: Salt-Dependence of Protein-DNA Binding: Insignts
Into Protein Electrostatics and Redesign.
Yuhua Zhu, Florida State University, Department of Computer
Science, Doctoral Committee Member, April 2010, dissertation
entitled Optimal Linear
Features for Content Based Image Retrieval and Applications.
Subhajit
Datta,
Florida
State
University,
Department
of Computer Science, Doctoral Committee Member,
March 2009, dissertation entitled: Metrics
and
Techniques
to
Guide
Software Development.
Ali Tarhini, Université de Joseph Fourier, Grenoble, France,
Laboratoire Jean Kuntzmann de Mathématique Appliquées et
Informatique, June, 2008, Doctoral Committee Member,
dissertation entitled: Numerical Analysis of Quasi-Monte
Carlo Methods and Applications to Coagulation Problems.
Quoc M. Doan, Florida State University, Department of Physics,
Doctoral Committee Member April 2007, dissertation entitled: Study
of Nematic
Phase of a Quantum Two-Dimensional Electron System.
Alexei Bazavov, Florida State University, Department of
Physics, Doctoral Committee Member, August 2007, dissertation
entitled: The Deconfining Phase Transition in and off
Equilibrium.
Niraj Pandey, Florida State University, Department of Computer
Science, Masters Committee Chair August, 2008, Masters Committee
Chair, project entitled: Implementation of Leap Ahead
Functions for Linear Congruential and Lagged Fibonacci
Generators.
Jungyuan (Jane) Ren, Florida State University, Department of
Computer Science, December, 2006, Masters Committee Chair,
thesis entitled: Design and Implementation of the Scalable
Parallel Random Number Generators Library 4.0.
Tim Pillards, Katholieke Universiteit Leuven (Catholic
University of Leuven), Leuven, Belgium, Department of Computer
Science, Faculty of Engineering, October, 2006, Doctoral
Committee Member, dissertation entitled: Quasi-Monte Carlo
Integration Over a Simplex in the Entire Space.
Goce Jakimoski, Florida State University, Department of
Computer Science, April, 2006, Doctoral Committee Member,
dissertation entitled: Primitives and Schemes for
Non-Atomics Information Authentication.
Hongmei Chi, Florida State University, Department of Computer
Science, August 2004, Doctoral Committee Chair, dissertation
entitled: Scrambled Quasirandom Sequences and Their
Applications.
Tri Le-Van, Florida State University, Department of Computer
Science, April 2004, Doctoral Committee Member, dissertation
entitled: Information Hiding.
Yaohang Li, Florida State University, Department of Computer
Science, August 2003, Doctoral Committee Chair, dissertation
entitled: Grid-based Monte Carlo Applications.
Han-Ku Lee, Florida State University, Department of Computer
Science, August 2003, Doctoral Committee Member, dissertation
entitled: Efficient Compilation of the HPJava Language for
Parallel Computing.
Thomas Asbury, Florida State University, Molecular Biophysics
Program, Doctoral Committee Member, 2003-2005, dissertation
entitled: Computational Methods in Atomic Structure
Determination of Membrane Proteins.
Vikram Aggarwal, Florida State University, Department of
Computer Science, August 2004, Masters Committee Member, thesis
entitled: Stochastic Methods in Linear Algebra.
Jason Parker, Florida State University, Department of
Computer Science, December 2003, Masters Committee Chair, thesis
entitled: Extensions and Optimizations to the Scalable,
Parallel Random Number Generators Library.
Nikhil R. Bandodkar, Florida State University, Department of
Computer Science, Masters Committee Member.
Wenchang Yan, Florida State University, Department of Computer
Science, December 2001, Masters Committee Chair, project
entitled: An Online Random Number Testing
Engine with CORBA.
Prative Chend Balasubramanian, Florida State University,
Department of Computer Science, August 2001, Masters Committee
Chair, project entitled: Inversive Congruential Generators
for SPRNG.
Yaohang Li, Florida State University, Department of Computer
Science, August 2000, Masters Committee Chair, thesis entitled:
The Computational Measure of Uniformity.
John Mayer, University of Southern Mississippi Doctoral
Program in Scientific Computing, August 2000, Doctoral Committee
Member.
Hongbo (Mike) Zhou, University of Southern Mississippi
Doctoral Program in Scientific Computing, December 2000 Doctoral
Committee Chair, dissertation entitled, A Scientific
Computing GUI Agent for Parallel Monte Carlo in a Distributed
Environment.
Chi-Ok Hwang, University of Southern Mississippi Doctoral
Program in Scientific Computing, August 1999, Doctoral Committee
Chair, dissertation entitled: New First Passage Algorithms
with Applications to Permeability Calculations
Alice Qiao, University of Southern Mississippi Doctoral
Program in Scientific Computing, August 1999, Doctoral Committee
Member, dissertation entitled: Modally Optimized Dynamic
Explicit Nonlinear Finite Difference Scheme: MODEN FDS.
Chen Qu, University of Southern Mississippi, Masters Program
in Mathematics, December 1997, Masters Committee Chair:
non-thesis degree.
Graduate Students Graduated:
Asia Aljahdali, Florida State University, Department of
Computer Science, Ph.D., August 2017.
Preston Hamilton, Florida State University, Department of
Computer Science, Masters Thesis, December 2016.
Steven Røhr, Florida State University, Department of Computer
Science, Masters Project, December 2016.
Joshua Beizer, Florida State University, Department of
Computer Science, Masters Project, August 2016.
Christopher Ogden, Florida State University, Department of
Computer Science, Ph.D., August 2016.
Yue Qiu, Florida State University, Department of Computer
Science, Ph.D. December, 2013.
Liang (Leo) Li,
Florida State University, Department of Computer Science,
Masters Thesis, M.S. August 2012.
Yong-Woon Jung, Florida State University, Department of
Mathematics, Ph.D. April, 2010.
F. Steven Brailsford,
Florida State University, Department of Computer Science,
Masters Thesis, M.S. April 2010.
Niraj Pandey, Florida State University, Department of Computer
Science, Masters Project, M.S. August, 2008.
Jungyuan (Jane) Ren, Florida State University, Department of
Computer Science, Masters Thesis, M.S. December 2006.
Hongmei Chi, Florida State University, Department of Computer
Science, Ph.D. August 2004.
Jason Parker, Florida State University, Department of Computer
Science, Masters Thesis, M.S. December 2003.
Yaohang Li, Florida State University, Department of Computer
Science, Ph.D. August 2003.
Wenchang Yan, Florida State University, Department of Computer
Science, Masters Project, M.S. December 2001.
Prative Chend Balasubramanian, Florida State University,
Department of Computer Science, Masters Project, M.S. August
2001.
Hongbo (Mike) Zhou, University of Southern Mississippi
Doctoral Program in Scientific Computing, Ph.D., December 2000.
Yaohang Li, Florida State University, Department of Computer
Science, Masters Thesis, M.S. August 2000.
Chi-Ok Hwang, University of Southern Mississippi Doctoral
Program in Scientific Computing, Ph.D. August 1999.
Undergraduate Research Students Supervised:
Charles Mason, Florida State University, Department of
Computer Science, 2004-2005.
Jane Ren, Florida State University, Department of Computer
Science, 2004-2005.
Shyam Lakshmin, Florida State University, Department of
Computer Science, 1999-2001.
Anna Suen, Florida State University, Department of Computer
Science, 2000-2001.
Jason Parker, Florida State University, Department of Computer
Science, 1999-2000.
Undergraduate Honors Students Supervised:
Jane Ren, Florida State University, Department of Computer
Science, graduated with Honors, December 2004.
Distance Learning Development Work:
I developed the distance learning version of COP 4531 for the
Department of Computer Science and the Office of Distributed and
Distance Learning at the Florida State University. This
course was taught in the new Computer Science curriculum by me in
for the first time in Spring of 2001 to 10 distance students, and
was offered again, by me, in Fall 2001.
Director of Graduate Admissions, Florida State University,
Department of Computer Science, 2015-present.
Promotion and Tenure Representative to the College of Arts and
Sciences, Florida State University, Department of Computer
Science, 2015-2016.
Department of Computer Science Member, Faculty Senate, Florida
State University, Department of Computer Science, 2013-2015.
Chair, OTI/ITS-Faculty Communication Committee, Faculty
Senate, Florida State University, 2012-present.
Director of Graduate Studies, Florida State University,
Department of Computer Science, 2008-2014.
Member, Graduate Curriculum Committee, Florida State
University, Department of Computer Science, 2008-present.
SMALCS
Departmental
Representative,
Florida
State
University,
Department of Computer Science, 2008-2014.
Member Graduate Admissions and Financial Aid Committee,
Florida State University, Department of Computer Science,
2004-present.
Member, Executive Committee, Florida State University,
Department of Computer Science, 2011-2013.
Promotion and Tenure Representative to the College of Arts and
Sciences, Florida State University, Department of Computer
Science, 2012-2013.
Promotion and Tenure Representative to the Science Area for
the College of Arts and Sciences, Florida State University,
Department of Computer Science, 2012-present.
External Member, Philosophy Department Chair Selection
Committee, Florida State University, College of Arts and
Sciences, 2012-2013.
At-Large Member, Faculty Senate, Florida State University,
Department of Computer Science, 2011-2012.
Member, Faculty Evaluation Committee, Florida State
University, Department of Computer Science, 2010-2011.
Reviewer,
Council
on
Faculty
Research
Support (COFRS), 2009.
Promotion and Tenure Representative to the University, Florida
State University, Department of Computer Science, 2004-2005
Promotion and Tenure Representative to the College of Arts and
Sciences, Florida State University, Department of Computer
Science, 2004-2005.
Promotion and Tenure Representative to the Science Area for
the College of Arts and Sciences, Florida State University,
Department of Computer Science, 2004-2005.
Member, Chair Selection Advisory Committee, Florida State
University, Department of Computer Science, 2007-present.
SACS/SMALCS Departmental Representative, Florida State
University, Department of Computer Science, 2006-2008.
Member, Portfolio Committee, Florida State University,
Department of Computer Science, 2005-present.
External Member, Mathematics Department Chair Selection
Committee, Florida State University, College of Arts and
Sciences, 2004-2005.
Member, Faculty Recruitment Committee, Florida State
University, Department of Computer Science, 2001-2005.
Chair, Teaching Evaluation Committee (a advisory committee to
the Faculty Evaluation Committee), Florida State University,
Department of Computer Science, 2003-2005.
Member, Faculty Evaluation Committee, Florida State
University, Department of Computer Science, 2002-2003.
Chair, Faculty Recruitment Committee, Florida State
University, Department of Computer Science, 2001-2003.
Member, Computational Science and Information Technology
(CSIT) Educational Graduate Program Committee, Florida State
University, College of Arts and Sciences, 2001-Present.
External Member, Statistics Department Chair Selection
Committee, Florida State University, College of Arts and
Sciences, 2001-Present.
Member, CSIT Computational Biology Search Committee, Florida
State University, School of Computational Science and
Information Technology, 2001-Present.
Associate Member, Security and Assurance in Information
Technology Laboratory, Florida State University, Department of
Computer Science, 2000-Present.
Member, CSIT Computational Biology Committee, Florida State
University, School of Computational Science and Information
Technology, 2001-Present.
Chair, NSF/CISE Research Infrastructure Grant Committee,
Florida State University, Department of Computer Science,
2000-2001.
Chair, COP 4531 Course Committee, Florida State University,
Department of Computer Science, 1999-Present.
Member, Faculty Evaluation Committee, Florida State
University, Department of Computer Science, 2000-2001.
Member, Information Security Committee, Florida State
University, Department of Computer Science, 2000-Present.
Member, Graduate Affairs Committee, Florida State University,
Department of Computer Science, 1999-2002.
Member, Equipment Committee, Florida State University,
Department of Computer Science, 1999-2002.
Chair, COP 4530 Course Committee, Florida State
University, Department of Computer Science, 1999-2000.
Member, Biological Computing Committee, Florida State
University, 1999-2000.
Member, Sloan Bioinformatics Proposal Curriculum Committee,
Florida State University, 1999-2000.
Member, School of Mathematical Sciences Council, University of
Southern Mississippi, 1997-99.
Library Liaison, Doctoral Program in Scientific Computing,
University of Southern Mississippi, 1997-99.
Chair, Qualifying Examination Committee, Doctoral
Program in Scientific Computing, University of Southern
Mississippi, 1997-99.
Chair, Graduate Admissions Committee, Doctoral Program in
Scientific Computing, University of Southern Mississippi,
1997-99.
Graduate Advisor for 12-15 students per semester, Doctoral
Program in Scientific Computing, University of Southern
Mississippi, 1997-99.
Chair, Mathematics Department Faculty Search Committee,
University of Southern Mississippi, 1997-98.
External Advisory Committee Member evaluating SUNY-Brockport's
Masters Program in Computational Science, 1997.
University/NIST Service:
Computer Science Representative the the National Science
Foundation Transdisciplinary Research In Principles Of Data
Science (TRIPODS) proposal effort at FSU, 2016-2017.
Host to Prof. Siegfried Rump, Departement Informatik,
Universität Hamburg, Germany, seminar speaker for the Applied
and Computational Mathematics Division, Information Technology
Laboratory, National Institute for Standards and Technology,
2015.
Host to Prof. Emmanuel Gobet, Centre de Mathématiques
Appliquées, École Polytechnique, Palaiseau, France, seminar
speaker for the Applied and Computational Mathematics Division,
Information Technology Laboratory, National Institute for
Standards and Technology, 2014.
Host to Prof. Yaohang Li, Department of Computer Science, Old
Dominion University, Norfolk, VA, seminar speaker for the
Applied and Computational Mathematics Division, Information
Technology Laboratory, National Institute for Standards and
Technology, 2014.
Recruiting trip to the Mathematics and Computer Sciences
Department at Appalachian State University, Boone, NC,
Department of Computer Science, Florida State University, Fall
2013.
Recruiting trip to the Mathematics and Computer Sciences
Department at University of North Florida, Jacksonville, FL,
Department of Computer Science, Florida State University, Fall
2012
Recruiting trip to the Mathematics and Computer Sciences
Department at Appalachian State University, Boone, NC,
Department of Computer Science, Florida State University, Fall
2012.
Recruiting trip to the Mathematics and Computer Sciences
Department at Appalachian State University, Boone, NC,
Department of Computer Science, Florida State University, Spring
2012.
Member, Advanced Topic Exam Committee for Mr. Yongjae Cha
entitled "Finding Hypergeometric Solutions of Linear Recurrence
Equations," Department of Mathematics, Florida State University,
2008.
Coordinator of a Florida State University Research Booth at
SC07 (Annual International High-Performance Computing and
Networking Meeting), School of Computational Science, Florida
State University, 2007, Reno, NV.
Coordinator of a Florida State University Research Booth at
SC06 (Annual International High-Performance Computing and
Networking Meeting), School of Computational Science, Florida
State University, 2006, Tampa, FL.
Coordinator of a Florida State University Research Booth at
SC2004 (Annual International High-Performance Computing and
Networking Meeting), School of Computational Science, Florida
State University, 2004, Pittsburgh, PA.
Organizing a
National Computational Science Institute special workshop
on "Monte Carlo Methods as Educational Tools," at the School of
Computational Science, Summer, 2005, School of Computational
Science and Information Technology, Florida State University,
2005. This workshop will be held immediately before the 5th
IMACS Seminar on Monte Carlo Methods, and will lead into
an "Educational Program" for the conference, to be held at
Florida State University, May 16-20, 2005.
Departmental doctoral graduation representative: hooded
doctoral candidate Hongmei Chi, Department of Computer Science,
Florida State University, Summer 2004.
Organized and hosted a National
Computational Science Institute "Second Look Workshop" at
the School of Computational Science and Information Technology,
Summer, 2004, School of Computational Science and Information
Technology, Florida State University, 2004.
Host to Russel Caflisch, seminar speaker for the 2003-2004
CSIT/MARTECH Seminar Series on Computational Materials Science,
School of Computational Science and Information Technology,
2004.
Host to Peter Cummings, seminar speaker for the 2003-2004
CSIT/MARTECH Seminar Series on Computational Materials Science,
School of Computational Science and Information Technology,
2004.
Host to Robert V. Kohn, seminar speaker for the 2003-2004
CSIT/MARTECH Seminar Series on Computational Materials Science,
School of Computational Science and Information Technology,
2004.
Host to Mark Stiles, seminar speaker for the 2003-2004
CSIT/MARTECH Seminar Series on Computational Materials Science,
School of Computational Science and Information Technology,
2003.
Host to Rajiv Kalia, seminar speaker for the 2003-2004
CSIT/MARTECH Seminar Series on Computational Materials Science,
School of Computational Science and Information Technology,
2003.
Organizer for the 2003-2004 CSIT/MARTECH Seminar Series on
Computational Materials Science, School of Computational Science
and Information Technology, 2003-2004.
Florida State University Coordinator for the Falls Creek Falls
Workshop on Computational Science for Oak Ridge National
Laboratory's Partner Universities, 2003.
Coordinator of a Florida State University Research Booth at
SC2003 (Annual International High-Performance Computing and
Networking Meeting), School of Computational Science and
Information Technology, Florida State University, 2003, Phoenix,
AZ.
Departmental doctoral graduation representative: hooded
doctoral candidates Han-Ku Lee, Sangmi Lee, Yaohang Li, and Sang
Boem Lim, Department of Computer Science, Florida State
University, Summer 2003.
Organized and hosted the National
Computational Science Institute "Second Look Workshop" at
the School of Computational Science and Information Technology,
August 3-9, for 25 undergraduate faculty from various
Southeastern Colleges and Universities, and the two instructors
from the Shodor Educational
Foundation, School of Computational Science and
Information Technology, Florida State University, 2003.
Host to Dr. Stephen L. Scott, colloquium speaker from Oak
Ridge National Laboratory, Department of Computer Science,
Florida State University, 2003.
Trip to San Diego, CA to attend the 2003 NPACI (National
Partnership for Computational Infrastructure) All Hands Meeting
and to explore ways to foster cooperation between FSU and NPACI
and the San Diego Supercomputer Center.
Host to Dr. Duncan Buell, colloquium speaker from the
University of South Carolina, Department of Computer Science,
Florida State University, 2003.
Host to Ms. Xiaosong Ma, faculty candidate from the University
of Illinois at Urbana-Champaign, Department of Computer Science,
Florida State University, 2003.
Host to Mr. Ting Yu, faculty candidate from the University of
Illinois at Urbana-Champaign, Department of Computer Science,
Florida State University, 2003.
Host to Prof. Abdujabar Rasulov, visiting Fulbright Scholar
from University of World Economy and Diplomacy, Tashkent,
Uzbekistan, at the School of Computational Science and
Information Technology, Florida State University, 2002-2003.
Coordinator of a Florida State University Research Booth at
SC2002 (Annual International High-Performance Computing and
Networking Meeting), School of Computational Science and
Information Technology, Florida State University, 2002,
Baltimore, MD.
Host to Dr. Ashok Srinivasan, faculty candidate from the
University of California, Santa Barbara, Department of Computer
Science, Florida State University, 2001.
Trip to Melbourne, FL to meet with researchers at Harris
Corporation with members of the Department of Computer Science,
Florida State University, 2000.
Trip to Deland, FL to recruit graduate students for the
Department of Computer Science, Florida State University, 1999.
Trip to Bethesda, MD to recruit Dr. Mark Boguski to the
Florida State University Bioinformatics External Advisors
Committee, 1999.
Administration:
Director of Graduate Studies, Department of Computer Science,
Florida State University, 2008-2014.
Coordinator, Doctoral Program in Scientific Computing,
University of Southern Mississippi, 1997-1999.
Director, University of Southern Mississippi's Programming
Environment and Training Research activities at
the Naval Oceanographic Office at Stennis Space Center, MS,
1997-1999.
Service to International Organizations:
Society for Industrial and Applied Mathematics (SIAM) Visiting
Lecturer, 1999-Present.
Member, Board of Directors, International Association for
Mathematics and Computers in Simulation (IMACS), 2005-Present.
Member, Technical Committee on Monte Carlo Methods,
International Association for Mathematics and Computers in
Simulation (IMACS), 2005-Present.
Member, Peer Review Committee for the Fulbright Specialist
Program, Council for International Exchange of Scholars,
Washington, DC, 2013-Present.
Internal Reviewer, Grant Proposals, National Institute of
Standards and Technology, Information Technology Laboratory, Gaithersburg, MD, 2015-Present.
External Reviewer for the European Commission's Information
and Communication Technologies (ICT) Program through the
Bulgarian National Science Fund, Sofia, Bulgaria, 2014-Present.
External Reviewer for the Oak Ridge Associated
Universities/Oak Ridge Institute for Science and Education
(ORAU/ORISE) Technology Commercialization
Proposals, 2014-Present.
External Reviewer, Case of Dr. Madalina Deaconu's
Promotion to Directrice de Recherche, Institut National de
Recherche en Informatique et en Automatique (INRIA), Project
Tosca, 2016, Nancy, France.
External Reviewer, Case of Dr. Madalina Deaconu's
Promotion to Directrice de Recherche, Institut National de
Recherche en Informatique et en Automatique (INRIA), Project
Tosca, 2015, Nancy, France.
External Reviewer, Case of Dr. Calvin J. Ribben's
Promotion to Professor, Department of Computer Science, Virginia
Polytechnique and State University, 2012, Blacksburg, VA.
External Reviewer, Case of Dr. Sergei Shabanov's
Promotion to Professor, University of Delaware, Department of
Mathematics, 2012, Gainesville, FL.
External Reviewer, Case of Dr. Michela Taufer's
Promotion to Associate Professor with Tenure, University of
Delaware, Department of Computer and Information Sciences, 2011,
Newark, DE.
Organizer of a minisymposium on "Computational Geometry
Issues in Monte Carlo Methods for Partial Differential
Equations," at the SIAM Conference on Industrial and Applied
Geometry, 2017, Pittsburgh, PA.
Organizer of a minisymposium on "Numerical
Reproducibility," at the SIAM Conference on Computational
Science and Engineering, 2017, Atlanta, GA.
Organizer of a minisymposium on "Stochastic Methods in
Computational Science," at the SIAM Conference on Computational
Science and Engineering, 2017, Atlanta, GA.
Member, International Program Committee for the
International Conference on Computational Science 2016
(ICCS 2017), 2017, Eidgenössische Technische Hochschule
(ETH), Zürich, Switzerland.
Member, Review Committee for the 2016 Cray/Fernbach Award
Committee to be given at SC16, , 2016, Salt Lake City, UT.
Organizer, SC16 Half-Day Workshop entitled Numerical
Reproducibility at Exascale (NRE2016), held at SC16, 2016,
Salt Lake City, UT.
Member, Review Committee for the 2015 Cray/Fernbach Award
Committee to be given at SC15, 2015, Austin, TX.
Organizer, SC15 Half-Day Workshop entitled Numerical
Reproducibility at Exascale (NRE2015), held at SC15, 2015,
Austin, TX.
Organizer of a four-session minisymposium on "Monte Carlo
Methods for Solving Partial Differential Equations," with Dr.
Wei Cai, University of North Carolina at Charlotte, at the Ninth
International
Congress on Industrial and Applied Mathematics
(ICIAM 2015), 2015, Beijing,
China.
Member, Advisory Committee, The
International Conference on High Performance
Computing & Simulation (HPCS 2016), 2016,
Innsbruck, Austria.
Member, International Program Committee for the
International Conference on Computational Science 2016
(ICCS 2016), 2016, San Diego, CA.
Member, International Program Committee for the
International Conference on Computational Science 2015
(ICCS 2015), 2015, Reykjavik, Iceland.
Member, International Program Committee for the
International Conference on Computational Science 2014
(ICCS 2014), 2014, Cairns, Australia.
Member, Technical Program Committee, SC14, New Orleans, LA.
Member, Emerging Technology Committee, SC14, New Orleans, LA.
Member, Organizing Committee for the Fourth
International Conference on Large Scale Scientific
Computation (LSSC-2013), 2013, Sozopol, Bulgaria.
Member, International Program Committee for
the Ninth IMACS Seminar on Monte
Carlo Methods (MCM2013), 2013, Annecy, France.
Member, International Program Committee for the
International Conference on Computational Science 2013
(ICCS 2013), 2013, Barcelona, Spain.
Member, International Program Committee for the
27th International Conference on Supercomputing (ICS 2013),
2013, Eugene, OR
Member, International Program
Committee for the 21st High Performance Computing
Symposium (HPC 2013), 2013, San Diego, CA.
Member, Steering Committee, SC12, Salt Lake City, UT.
Member, Technical Program Committee, SC12, Salt Lake City, UT.
Member, Birds of a Feather (BOF) Committee, SC12, Salt Lake
City, UT.
Member, Review Committee for the George Michael Memorial
Graduate Fellowships given at SC12, Salt Lake City, UT.
Member, Technical Program Committee, SC11, Seattle, WA.
Member, Review Committee for the George Michael Memorial
Graduate Fellowships given at SC11, Seattle, WA.
External Reviewer, Schweizerischer Nationalfonds zur Förderung
der wissenschaftlichen Forschung (SNSF, Swiss National Science
Foundation); Division II: Mathematics, Natural and Engineering
Sciences, Computer Science Proposal, 2014, Bern, Switzerland.
Member, National Science Foundation Software Task Force, SSE
Software for Science and Engineering, 2010-present, Arlington,
VA.
External Reviewer, New Researchers Start-up Program of
Fonds québécois de la recherche sur la nature et les
technologies (FQRNT), 2009, Québec, Canada.
Member, International Program Committee for the
International Conference on Computational Science 2012
(ICCS 2012), 2012, Omaha, NE.
Member, International Program Committee for the
20th High Performance Computing Symposium (HPC 2012),
2012, Orlando, FL.
Member, Program Committee for High Performance Computing
and Simulation 2011 (HPCS 2011), which is part of the SCS
Spring Simulation MultiConference, 2011, Boston, Massachusetts.
Member, International Program Committee for the
International Conference on Computational Science 2011
(ICCS 2011), 2011, Tsukuba, Japan.
Member, Program Committee for High Performance Computing
and Simulation 2010 (HPCS 2010), which is part of the SCS
Spring MultiConference, 2010, Orlando, Florida.
Member, International Program
Committee for the Workshop on High-performance Computing
Applied to Finance to be held in conjunction
with the 16th
International European Conference on Parallel and
Distributed Computing (Euro-Par 2010), 2010, Ischia, Italy.
Member, International Program Committee for the
International Conference on Computational Science 2010
(ICCS 2010), 2010, Amsterdam, The Netherlands.
Member, International Program Committee for the
2010
International
Conference
on
Computational
Science and its Applications (ICCSA 2010), 2010, Fukuoka,
Japan.
Member, Educational Committee, SC09: International
Conference for High Performance Computing, Networking, Storage
and Analysis, 2009, Portland, OR.
Member, International Program Committee for the
International Conference on Computational Science 2009
(ICCS 2009), 2009, Baton Rouge, LA.
Member, International Program Committee for
the Sixth IMACS Seminar on Monte Carlo Methods (MCM2009),
2009, Brussels, Belgium.
Member, Program Committee for International Parallel and
Distributed Computing (IPDPS) 2009, Rome, Italy.
Member, Program Committee for High Performance Computing
2009 (HPC 2009), which is part of the SCS Spring
MultiConference, 2009, San Diego, CA.
Member, International Program Committee for the
2007
International
Conference
on
Computational
Science and its Applications (ICCSA 2008), 2008, Perugia,
Italy.
Member, Educational Committee, SC08: International
Conference for High Performance Computing, Networking, Storage
and Analysis, 2008, Austin, TX.
Organizer of a minisymposium entitled "Parallel Stochastic
Methods in Computational Biology," at the 13th SIAM
Conference on Parallel Processing for Scientific Computing (PP08), 2008, Atlanta,
GA.
Member, Program Committee for High Performance Computing
and Simulation 2008 (HPCS 2008), which is part of the SCS
Spring MultiConference, 2008, Ottawa, Ontario, Canada.
External Reviewer, Habilitation of Dr. Sylvain Maire,
Assistant Professor, Université de Toulon et du Var, Institut des
Sciences de l'Ingénieur de Toulon et du Var,
Modélisation Numérique et Couplages, 2007, Toulon, France.
Organizer of two invited minisymposia on "Stochastic Computing
and Applications," with Dr. Wesley Petersen, Eidgenössische
Technische Hochschule (ETH), Zürich, Switzerland, at the Sixth
International
Congress on Industrial and Applied Mathematics
(ICIAM 2007), 2007, Zürich,
Switzerland.
Organizer of an minisymposium on "Probabilistic
Numerical
Methods
for
PDEs
and
Stochastic PDEs," with Dr. Wesley Petersen, Eidgenössische
Technische
Hochschule
(ETH), Zürich, Switzerland, at the Sixth International Congress on Industrial
and Applied Mathematics (ICIAM 2007), 2007, Zürich,
Switzerland.
Member, International Program Committee for
the Sixth IMACS Seminar on Monte Carlo Methods (MCM2007),
2007, Reading, United Kingdom.
Member, International Program Committee for The 2007 IEEE
International Symposium on Bioinformatics and Life Science
Computing (BLSC07), 2007, Niagara Falls, Ontario, Canada.
Member, International Program Committee for the
International Conference on Computational Science 2007
(ICCS 2007), 2007, Beijing, People's Republic of China.
Member, International Program Committee for the
2007
International
Conference
on
Computational
Science and its Applications (ICCSA 2007), 2007, Kuala
Lumpur, Malaysia.
External Reviewer, Promotion Case of Dr. Sharam Rahimi
to Associate Professor, Southern Illinois University, Department
of Computer Science, 2006, Carbondale, IL.
External Reviewer, Promotion Case of Dr. David R. C.
Hill to Professor, Grade 2, Blaise Pascal University, Department
of Computer Science, 2006, Clermont-Ferrand, France.
External Reviewer, Promotion and Tenure Case of Dr.
Peter R. Kramer to Associate Professor with Tenure, Rensselaer
Polytechnic Institute, Department of Mathematical Sciences,
2005, Troy, NY.
Member, International Program Committee for the
International Conference on Computational Science 2006
(ICCS 2006), 2005, Reading, UK.
Member, National Institutes of Health Study
Section Committee for Software Development and Maintenance
Applications, 2005.
Member, International Program Committee for Computational
Finance 2006, 2006, London, UK.
Member, International Program Committee for the
2006 High Performance Computing Symposium (HPC 2006),
2006, Huntsville, AL.
Member, Program Committee for The Seventh International
Conference on Monte Carlo and Quasi-Monte Carlo Methods in
Scientific Computing (MCQMC-06), Ulm, Germany.
Organizer and General Chair, Fifth IMACS Seminar on Monte
Carlo Methods, 2005, Tallahassee, FL.
Mail reviewer for Cooperative Grants
Program of the U.S. Civilian Research and Development Foundation
(CRDF), 2005.
Member, Scientific Advisory Committee for the Second
International Conference on Computational Finance and Its
Applications 2006, Imperial College, London, UK.
Organizer, Workshop entitled Parallel Monte
Carlo Algorithms for Diverse Applications in a Distributed
Setting, at the International Conference on Computational Science 2005
(ICCS 2005), Atlanta, GA.
Member, International Program Committee for the
2005
International
Conference
on
Computational
Science and its Applications (ICCSA 2005), 2005,
Singapore.
Member, Program Committee for The International Workshop
on High Performance Computing in Medicine and Biology
(HiPCoMB-05), to be held in conjunction with The 11th
Conference on Parallel and Distributed Systems (ICPADS-05),
Fukuoka Institute of Technology, Japan.
Member, Program Committee for The Third International
Workshop on Biomedical Computations on the Grid (BioGrid'05) held
in
conjunction with CCGrid2005, 2005, Cardiff, Wales, UK.
Member, International Program Committee for The
First
Open
International
Conference
on
Modeling and Simulation, 2005, Clermont-Ferrand, France.
External Member, Promotion Committee of Dr. Louise
Perkins to Professor, University of Southern Mississippi,
Department of Computer Science and Statistics, 2004,
Hattiesburg, MS.
External Member, Promotion Committee of Dr. Marios
Dikaiakos to Associate Professor with tenure, University of
Cyprus, Department of Computer Science, 2004, Nicosia, Cyprus.
Member, International Program Committee for the
International Conference on Computational Science 2005
(ICCS 2005), 2005, Atlanta, GA.
Member, International Program Committee for the
2005 High Performance Computing Symposium (HPC 2005),
2005, San Diego, CA.
Organizer, Minsyposium entitled Monte Carlo Computations
in Biology and Materials Science, at the 2005
Society for Industrial and Applied Mathematics Computational
Science and Engineering Conference, Orlando, FL.
External peer reviewer for Dr. Marcin Paprzycki's promotion to
Associate Professor, Department of Computer Science, Oklahoma
State University, 2003, Stillwater, OK.
Member, Program Committee for the Second International
Workshop on Biomedical Computations on the Grid (BioGrid'04) held
in
conjunction with CCGrid2004, 2004, Chicago, Illinois.
Mail reviewer for Cooperative Grants
Program of the U.S. Civilian Research and Development Foundation
(CRDF), October, 2003.
Member, International Program Committee for the
2004
International
Conference
on
Computational
Science and its Applications (ICCSA 2004), 2004, Santa
Maria degli Angeli of Assisi (Perugia), Italy.
Member, International Program Committee for 2004
International
Conference
on
Computational
Science
(ICCS 2004), 2004, Kraków, Poland.
Organizer of a minisymposium on "Fault Tolerant
High-Performance Computing," with Dr. Ashok Srinivasan of the
Department of Computer Science at Florida State University at
the Eleventh
Conference on Parallel Processing for Scientific Computing, 2004, San Francisco, CA.
External peer reviewer for Dr. Olivier Smidts' tenure case for
the Fonds National de la Recherche Scientifique, Université
Libre de Bruxelles, Service
de Métrologie Nucléaire, Brussels, Belgium, 2002.
Organizer of three invited minisymposia on
"Stochastic Computing and Applications," with Dr. Wesley
Petersen, Eidgenössische Technische Hochschule (ETH), Zürich, Switzerland, at the
Fifth International Congress on Industrial and Applied
Mathematics (ICIAM 2003), 2003, Sydney, Australia.
Member, International Program Committee for 2003
International
Conference
on
Computational
Science
(ICCS 2003), 2003, St. Petersburg, Russia/Melbourne,
Australia.
Member, Program Committee for the First International
Workshop on Biomedical Computations on the Grid (BioGrod'03) held
in
conjunction with CCGrid2003, 2003, Tokyo, Japan.
Member, International Program Committee for the Fourth
IMACS Seminar on Monte Carlo Methods, 2003, Berlin,
Germany.
Member, Organizing Committee for the Fourth IMACS Seminar
on Monte Carlo Methods, 2003, Berlin, Germany.
Member, Organizing Committee for the Fourth
International Conference on Large Scale Scientific
Computation (ICLSSC-2003), 2003, Sozopol, Bulgaria.
Member, Program Committee for the 2003 International Conference on Computational
Science and Its Applications (ICCSA 2003), 2003,
Montreal, Canada.
Member, International Program Committee for 2002
International
Conference
on
Computational
Science
(ICCS 2002), 2002, Amsterdam, Netherlands.
Member, International Program Committee for the Fifth
International Conference on Numerical Methods and Applications,
2002, Borovets, Bulgaria.
Panelist for NSF, Information Technology Research, April 2001,
Arlington, VA.
Mail reviewer for the State of Kansas EPSCoR Defense Program,
June, 2000.
Mail reviewer for NSF, Division of Mathematical Sciences, June
2000.
Member, International Program Committee for the Second
IMACS Seminar on Monte Carlo Methods, June, 1999, Varna,
Bulgaria.
Member, Organizing Committee for the First Southern
Symposium on Computing, December, 1998, Hattiesburg, MS.
Panelist for NSF, CISE/CCR, December 1998, Arlington, VA.
Chairman, Organizing Committee Chair for a Programming
Environment and Training Workshop entitled
"High-Performance Monte Carlo Tools'', April 23-24, 1998,
Stennis Space Center, MS.
Member, Organizing Committee Member for the Seventh SIAM
Conference on Parallel Processing for Scientific Computing,
March, 1995, San Francisco, CA.
Service to Industry and Government:
Consultant, Senet International Corporation, Fairfax, VA,
2016-Present.
Advancement Chairman, Cub Scouts of America Pack 114,
Gilchrist Elementary School, Tallahassee, FL, 2000-2001.
Editorial and Reviewing Service:
Member, Editorial Board for ACM
Transactions on Mathematical Software (ACM TOMS),
2014-Present.
Member, Editorial Board for Molecular
Based Mathematical Biology, 2012-Present.
Member, Editorial Board for Mathematics and Computers in
Simulation, 2005-Present.
Member, Editorial Board for Monte Carlo Methods and
Applications, 2000-Present.
Member, Editorial Board for Advances in Computing, Theory
and Practice, 1998-Present.
Guest Editor, Special Issue of Mathematics and Computers in Simulation, based
on papers from our Numerical Reproducibility at Exascale
workshops: NRE2015 and NRE2016, 2017.
Member, Editorial Board for SIAM Journal on Scientific
Computing, 2008-2011.
Guest Editor, Special Issue of Mathematics and Computers in Simulation,
volume 80(6), 2010.
Reviewer for Mathematical Reviews, 1995-Present.
Textbook reviewer for Walter de Gruyter GmbH
& Co. KG., 2012-Present.
Textbook
reviewer
for
Springer
Verlag,
2009-Present.
Textbook reviewer for McGraw-Hill, Inc., 2005-Present.
Textbook reviewer for John Wiley and Sons, Inc., 2004-Present.
External Journal Reviewer for the proposed Journal of
Computational Science and Engineering for Birkhauser,
Basel, Switzerland, 2003.
Book Reviewer for The Journal of Statistical Physics,
Mathematics of Computation, and Connection Science,
1989.
Refereeing Service:
Washington Editorial Review Board, 2017
ACM Transactions on Mathematical Software (TOMS),
2017
Wires Computational Statistics, 2017
Journal of Inverse and Ill-Posed Problems, 2017
Journal of Computational Physics, 2016
Mathematics and Computers in Simulation, 2016
ACM Transactions on Mathematical Software (TOMS),
2016
Mathematics and Computers in Simulation, 2015
ACM Transactions on Modeling and Computer Simulation
(TOMACS), 2015
Kuwait Journal of Science, 2015
Journal of Computational Science, 2015
Numerical Reproducibility at Exascale 2015 (NRE2015), 2015
Mathematics and Computers in Simulation, 2015
Washington Editorial Review Board, 2015
Journal of Computational Physics, 2015
ACM Transactions on Modeling and Computer Simulation
(TOMACS), 2015
Journal of Inverse and Ill-Posed Problems, 2015
ACM Transactions on Mathematical Software (TOMS),
2015
Nonlinear Theory and Its Applications, Institute of
Electronics, Information and Communication Engineers (IEICE,
Japan), 2015
Applied Mathematical Modelling, 2015
Journal of Inverse and Ill-Posed Problems, 2015
Journal of Computational Physics, 2015
Journal of Computational and Applied Mathematics, 2015ACM
Transactions on Mathematical Software, 2015
Computing in Science and Engineering (CiSE), 2015
The 2014 International Conference on Computational Science
(ICCS), 2015
ACM Transactions on Mathematical Software (TOMS),
2015
Journal of Computational and Applied Mathematics, 2015
ACM Transactions on Mathematical Software (TOMS),
2014
ESAIM: Proceedings and Surveys, 2014
Journal of Computational Science, 2014
BIT Numerical Mathematics, 2014
Journal of Computational and Applied Mathematics, 2014
Washington Editorial Review Board, 2014
Mathematics and Computers in Simulation, 2014
ESAIM: Proceedings and Surveys, 2014
Monte Carlo Methods and Applications, 2014
ACM Transactions on Mathematical Software (TOMS),
2014
Applied Mathematical Modeling, 2014
BIT Numerical Mathematics, 2014
ACM Transactions on Mathematical Software (TOMS),
2014
ACM Transactions on Mathematical Software (TOMS),
2014
Mathematics and Computers in Simulation, 2014
ACM Transactions on Mathematical Software, 2014
Journal of Computational Physics, 2014
Nonlinear Analysis Real World Applications, 2014
Communications in Statistics - Simulation and Computation,
2014
Mathematics and Computers in Simulation, 2014
BIT Numerical Mathematics, 2014
ACM Transactions on Mathematical Software (TOMS),
2014
Mathematics and Computers in Simulation, 2014
The 2014 International Conference on Computational Science
(ICCS), 2014
Physica Scripta, 2014
Communications in Statistics - Simulation and Computation,
2014
Monte Carlo Methods and Applications, 2013
Journal of Scientific Computing, 2013
Ninth International Conference on Large
Scale Scientific Computation (LSSC-2013), 2013
Monte Carlo Methods and Applications, 2013
Concurrency and Computation: Practice and Experience, 2013
Monte Carlo Methods and Applications, 2013
Ninth International Conference on Large
Scale Scientific Computation (LSSC-2013), 2013
SIAM Journal on Scientific Computing, 2013
ACM Transactions on Modeling and Computer Simulation
(TOMACS), 2013
Ninth International Conference on Large
Scale Scientific Computation (LSSC-2013), 2013
Parallel Computing, 2013
The 2013 International Conference on Computational Science
(ICCS), 2013
27th International Conference
on Supercomuting (ICS 2013), 2013
SIAM Review, 2013
21st High Performance
Computing Symposium (HPC 2013), 2013
Journal of Computational Physics, 2013
SIAM Journal on Scientific Computing, 2013
Journal of Computational Neuroscience, 2013
ACM Transactions on Modeling and Computer Simulation
(TOMACS), 2012
Monte Carlo Methods and Applications, 2012
Journal of Computational Physics, 2012
SIAM Journal on Scientific Computing, 2012
Physica A, 2012
Applied Mathematics and Computation, 2012
Physica A, 2012
Communications in Statistics, Simulation and Computation,
2012
SIAM Journal on Scientific Computing, 2012
Journal of Computational Physics, 2012
The Journal of Electrostatics, 2012
The 2012 International Conference on Computational Science
(ICCS), 2012
20th High Performance Computing Symposium
(HPC 2012), 2012
Advances in Engineering Software, 2011
Monte Carlo Methods and Applications, 2011
Mathematics and Computers in Simulation, 2011
Applications and Applied Mathematics, 2011
19th High Performance Computing Symposium (HPC 2011),
2011
Le Matematiche, 2010
Mathematics and Computers in Simulation, 2010
Le Matematiche, 2010
Journal of Chemical Physics, 2010
Monte Carlo Methods and Applications, 2010
Journal of the Franklin Institute, 2010
Journal of Computational Physics, 2010
Monte Carlo Methods and Applications, 2010
Journal of Computational Physics, 2010
The Journal of Heat Transfer (a Journal of the ASME),
2010
Modélisation et Mathématique et Analyse Numérique,
2010
The Journal of Heat Transfer (a Journal of the ASME),
2010
The 2010 International Conference on Computational Science
(ICCS), 2010
High Performance Computing Symposium 2010 (HPC 2010),
2010
Journal of Computational Physics, 2009
Modélisation et Mathématique et Analyse Numérique,
2009
The 2009 International Conference on Computational Science
and its Applications (ICCSA), 2009
Physical Review, 2009
The 2009 International Conference on Computational
Science (ICCS), 2009
High Performance Computing Symposium 2009 (HPC 2009),
2009
International Parallel and Distributed Computing (IPDPS),
2009
Information Sciences, 2008
Journal of Computational Physics, 2008
Mathematics and Computers in Simulation, 2008
Monte Carlo Methods and Applications, 2008
Communications in Applied Mathematics and Computational
Science, 2008
SIAM Journal on Scientific Computing, 2008
Journal of Computational Physics, 2008
Monte Carlo Methods and Applications, 2008
The 2008 International Conference on Computational Science
and its Applications (ICCSA), 2008
Computing in Science & Engineering, 2008
High Performance Computing and Simulation 2008 (HPCS 2008),
2008
Journal of Computational Neuroscience, 2008
Mathematics and Computers in Simulation, 2007
Journal of Computational Physics, 2007
Journal of Computational Neuroscience, 2007
SIAM Journal on Numerical Analysis, 2007
Monte Carlo Methods and Applications, 2007
SIAM Journal on Scientific Computing, 2007
Computational Statistics and Data Analysis, 2007
The 2007 International Conference on Computational Science
(ICCS), 2007
Monte Carlo Methods and Applications, 2006
Parallel Computing, 2006
Physical Review E, 2006
Parallel Processing Letters, 2006
Parallel and Distributed Computing, a workshop of The 2006
International Conference on Computational Science and its
Applications, 2006
The 2006 International Conference on Computational Science
(ICCS), 2006
The 2006 International Conference on Computational Science
and its Applications (ICCSA), 2006
The International Workshop on High Performance Computing in
Medicine and Biology 2006, 2006
Computational Finance 2006, 2006
Mathematics and Computers in Simulation, 2006
2006 High Performance Computing Symposium, 2006
Computer Physics Communications, 2006
Mathematics and Computers in Simulation, 2006
Monte Carlo Methods and Applications, 2006
Second International Conference on Computational Finance
and Its Applications 2006
The Journal of Computational and Applied Mathematics,
2005
Journal of Computational Physics, 2005
The International Workshop on High Performance Computing in
Medicine and Biology 2005, 2005
Pattern Recognition Letters, 2005
Journal of Computational Physics, 2005
SIAM Journal on Scientific Computing, 2005
The 2005 International Conference on Computational Science
and its Applications (ICCSA), 2005
The 2005 International Conference on Computational Science
(ICCS), 2005
The Third International Workshop on Biomedical Computations
on the Grid, 2005
SIAM Journal on Scientific Computing, 2005
Journal of Computational Physics, 2005
Parallel Computing, 2005
Pattern Recognition Letters, 2005
2005 High Performance Computing Symposium, 2005
Journal of Computational Physics, 2004
Journal of Computational and Applied Mathematics,
2004
ACM Transactions on Mathematical Software, 2004
Monte Carlo Methods and Applications, 2004
Numerical Methods for Partial Differential Equations,
2004
Journal of Computational Physics, 2004
The Fourth IMACS Seminar on Monte Carlo Methods,
2004
Monte Carlo Methods and Applications, 2004
The 2004 International Conference on Computational Science
and its Applications (ICCSA), 2004
The 2004 International Conference on Computational Science
(ICCS), 2004
IEEE SoutheastCon 2004, 2004
Fourth International Conference on Large-Scale Scientific
Computations, 2003
IEEE Internet Computing, 2003
The 2003 International Conference on Computational Science
(ICCS), 2003
Future Generation Computer Systems, 2003
Fifth International Conference on Numerical Methods and
Applications, 2003
16th Annual ACM International Conference on Supercomputing,
2003
Journal of Computational and Applied Mathematics, 2003
Parallel Processing Letters, 2003
The 2002 International Conference on Computational Science
(ICCS), 2002
IEEE Transactions on Neural Networks, 2002
Third IMACS Seminar on Monte Carlo Methods, 2001
Third International Conference on Large-Scale Scientific
Computations, 2001
Fourth International Conference on Monte Carlo and
Quasi-Monte Carlo Methods in Scientific Computing, 2000
Operations Research, 2000
Parallel Algorithms and Applications, 2000
IEEE Transactions on Computers, 2000
1999 ACM/IEEE Conference on Supercomputing (SC '99),
1999
Journal of Computational Neurosciences, 1999
Parallel and Distributed Computing Practices, 1998
The 12th Workshop on Parallel and Distributed Simulation,
1998
ACM Transactions on Modeling and Computer Simulation, 1998
Journal of the ACM, 1997
Journal of Computational Physics, 1997
Journal of Statistical Computation and Simulation, 1996
ACM Transactions on Mathematical Software, 1996
1995 ACM/IEEE Conference on Supercomputing (SC '95),
1995
IEEE Computational Science and Engineering, 1995
SIAM Journal on Applied Mathematics, 1995
SIAM Journal on Scientific and Statistical Computing, 1995
SIAM Journal on Scientific and Statistical Computing, 1995
The Journal of Supercomputing, 1995
The International Journal of High Speed Computing, 1995
Connection Science, 1995
Biological Cybernetics, 1995
Annals of Biomedical Engineering, 1995
The 8th International Parallel Processing Symposium, 1995
The International Parallel Processing Symposium '95, 1995