2008 |
35 | EE | Michael Mascagni:
Random Number Generation for serial, parallel, distributed, and Grid-based financial computations.
IPDPS 2008: 1 |
2007 |
34 | EE | Yaohang Li,
Michael Mascagni,
Andrey Gorin:
Decentralized Replica Exchange Parallel Tempering: An Efficient Implementation of Parallel Tempering Using MPI and SPRNG.
ICCSA (3) 2007: 507-519 |
33 | EE | Hongmei Chi,
Michael Mascagni:
Efficient Generation of Parallel Quasirandom Faure Sequences Via Scrambling.
International Conference on Computational Science (1) 2007: 723-730 |
2005 |
32 | EE | Charles Fleming,
Michael Mascagni,
Nikolai A. Simonov:
An Efficient Monte Carlo Approach for Solving Linear Problems in Biomolecular Electrostatics.
International Conference on Computational Science (3) 2005: 760-765 |
31 | EE | Hongmei Chi,
Peter Beerli,
Deidre W. Evans,
Michael Mascagni:
On the Scrambled Sobol Sequence.
International Conference on Computational Science (3) 2005: 775-782 |
2004 |
30 | EE | Michael Mascagni,
Hongmei Chi:
Parallel linear congruential generators with Sophie-Germain moduli.
Parallel Computing 30(11): 1217-1231 (2004) |
29 | EE | Michael Mascagni,
Ashok Srinivasan:
Parameterizing parallel multiplicative lagged-Fibonacci generators.
Parallel Computing 30(5-6): 899-916 (2004) |
28 | EE | Michael Mascagni,
Nikolai A. Simonov:
Monte Carlo Methods for Calculating Some Physical Properties of Large Molecules.
SIAM J. Scientific Computing 26(1): 339-357 (2004) |
2003 |
27 | EE | Yaohang Li,
Michael Mascagni:
Improving Performance via Computational Replication on a Large-Scale Computational Grid.
CCGRID 2003: 442- |
26 | EE | Yaohang Li,
Michael Mascagni,
Michael H. Peter:
Grid-based Nonequilibrium Multiple-Time Scale Molecular Dynamics/Brownian Dynamics Simulations of Ligand-Receptor Interactions in Structured Protein Systems.
CCGRID 2003: 568-573 |
25 | EE | Michael Mascagni,
Nikolai A. Simonov:
Monte Carlo Method for Calculating the Electrostatic Energy of a Molecule.
International Conference on Computational Science 2003: 63-74 |
24 | EE | Aneta Karaivanova,
Michael Mascagni,
Nikolai A. Simonov:
Solving BVPs Using Quasirandom Walks on the Boundary.
LSSC 2003: 162-169 |
23 | EE | Michael Mascagni,
Yaohang Li:
Computational Infrastructure for Parallel, Distributed, and Grid-Based Monte Carlo Computations.
LSSC 2003: 39-52 |
22 | | Yaohang Li,
Michael Mascagni,
Robert van Engelen:
GCIMCA: A Globus and SPRNG Implementation of a Grid-Computing Infrastructure for Monte Carlo Applications.
PDPTA 2003: 71-76 |
21 | EE | Chi-Ok Hwang,
Michael Mascagni,
James A. Given:
A Feynman-Kac path-integral implementation for Poisson's equation using an h-conditioned Green's function.
Mathematics and Computers in Simulation 62(3-6): 347-355 (2003) |
20 | EE | Michael Mascagni,
Chi-Ok Hwang:
epsilon-Shell error analysis for "Walk On Spheres" algorithms.
Mathematics and Computers in Simulation 63(2): 93-104 (2003) |
19 | EE | Chi-Ok Hwang,
Michael Mascagni:
Analysis and comparison of Green's function first-passage algorithms with "Walk on Spheres" algorithms.
Mathematics and Computers in Simulation 63(6): 605-613 (2003) |
18 | EE | Ashok Srinivasan,
Michael Mascagni,
David Ceperley:
Testing parallel random number generators.
Parallel Computing 29(1): 69-94 (2003) |
2002 |
17 | EE | Yaohang Li,
Michael Mascagni:
Grid-Based Monte Carlo Application.
GRID 2002: 13-24 |
16 | EE | Michael Mascagni,
Aneta Karaivanova:
A Parallel Quasi-Monte Carlo Method for Solving Systems of Linear Equations.
International Conference on Computational Science (2) 2002: 598-608 |
15 | EE | Ashok Srinivasan,
Michael Mascagni:
Monte Carlo Techniques for Estimating the Fiedler Vector in Graph Applications.
International Conference on Computational Science (2) 2002: 635-645 |
14 | EE | Michael Mascagni,
Aneta Karaivanova:
A Monte Carlo Approach for Finding More than One Eigenpair.
Numerical Methods and Application 2002: 123-131 |
2001 |
13 | EE | Chi-Ok Hwang,
Michael Mascagni:
A Feynman-Kac Path-Integral Implementation for Poisson's Equation.
International Conference on Computational Science (1) 2001: 1282-1288 |
12 | EE | James A. Given,
Michael Mascagni,
Chi-Ok Hwang:
Continuous Path Brownian Trajectories for Diffusion Monte Carlo via First- and Last-Passage Distributions.
LSSC 2001: 46-57 |
2000 |
11 | EE | Mike Zhou,
Michael Mascagni:
The Cycle Server: A Web Platform for Running Parallel Monte Carlo Applications on a Heterogeneous Condor Pool of Workstations.
ICPP Workshops 2000: 111-118 |
10 | EE | Michael Mascagni,
Aneta Karaivanova:
Matrix Computations Using Quasirandom Sequences.
NAA 2000: 552-559 |
9 | EE | Michael Mascagni,
Ashok Srinivasan:
Algorithm 806: SPRNG: a scalable library for pseudorandom number generation.
ACM Trans. Math. Softw. 26(3): 436-461 (2000) |
8 | EE | Michael Mascagni,
Ashok Srinivasan:
Corrigendum: Algorithm 806: SPRNG: a scalable library for pseudorandom number generation.
ACM Trans. Math. Softw. 26(4): 618-619 (2000) |
1999 |
7 | | Muhammad Z. Hydari,
David Ceperley,
Ashok Srinivasan,
Michael Mascagni:
Classical Monte Carlo with a Fast High-Quality Pseudo Random Number Library in Java.
PPSC 1999 |
6 | | Michael Mascagni:
SPRNG: A Scalable Library for Pseudorandom Number Generation.
PPSC 1999 |
1998 |
5 | | Michael Mascagni:
Parallel Linear Congruential Generators with Prime Moduli.
Parallel Computing 24(5-6): 923-936 (1998) |
1995 |
4 | | Steven A. Cuccaro,
Michael Mascagni,
Daniel V. Pryor:
Techniques for Testing the Quality of Parallel Pseudorandom Number Generators.
PPSC 1995: 279-284 |
3 | | Josep-Lluis Larriba-Pey,
Michael Mascagni,
Angel Jorba,
Juan J. Navarro:
An Analysis of the Parallel Computation of Arbitrarily Branched Cable Neuron Models.
PPSC 1995: 373-378 |
1994 |
2 | EE | Daniel V. Pryor,
Steven A. Cuccaro,
Michael Mascagni,
M. L. Robinson:
Implementation of a portable and reproducible parallel pseudorandom number generator.
SC 1994: 311-319 |
1993 |
1 | | Michael Mascagni,
Steven A. Cuccaro,
Daniel V. Pryor,
M. L. Robinson:
Recent Developments in Parallel Pseudorandom Number Generation.
PPSC 1993: 524-529 |