Case Studies for Augmented Floating-Point. - Willard L. Miranker; Michael Mascagni; Siegfried M. Rump (Accurate Scientific Computations, 1985)

Arithmetically improved algorithmic performance. - Michael Mascagni; Willard L. Miranker (Computing, 1985)

Recent Developments in Parallel Pseudorandom Number Generation. - Michael Mascagni; Steven A. Cuccaro; Daniel V. Pryor; M. L. Robinson (PPSC, 1993)

Implementation of a portable and reproducible parallel pseudorandom number generator. - Daniel V. Pryor; Steven A. Cuccaro; Michael Mascagni; M. L. Robinson (SC, 1994)

A Gradient Random Walk Method for Two-Dimensional Reaction-Diffusion Equations. - Arthur Sherman; Michael Mascagni (SIAM J. Sci. Comput., 1994)

Techniques for Testing the Quality of Parallel Pseudorandom Number Generators. - Steven A. Cuccaro; Michael Mascagni; Daniel V. Pryor (PP, 1995)

An Analysis of the Parallel Computation of Arbitrarily Branched Cable Neuron Models. - Josep Lluís Larriba-Pey; Michael Mascagni; Angel Jorba; Juan J. Navarro (PP, 1995)

Parallel Weiner Integral Methods for Elliptic BVPs: A Tale of Two Architectures. - Michael Mascagni (Applications on Advanced Architecture Computers, 1996)

Parallel Linear Congruential Generators with Prime Moduli. - Michael Mascagni (Parallel Comput., 1998)

Classical Monte Carlo with a Fast High-Quality Pseudo Random Number Library in Java. - Muhammad Z. Hydari; David Ceperley; Ashok Srinivasan; Michael Mascagni (PP, 1999)

SPRNG: A Scalable Library for Pseudorandom Number Generation. - Michael Mascagni (PP, 1999)

The Cycle Server: A Web Platform for Running Parallel Monte Carlo Applications on a Heterogeneous Condor Pool of Workstations. - Mike Zhou; Michael Mascagni (ICPP Workshops, 2000)

Matrix Computations Using Quasirandom Sequences. - Michael Mascagni; Aneta Karaivanova (NAA, 2000)

Algorithm 806: SPRNG: a scalable library for pseudorandom number generation. - Michael Mascagni; Ashok Srinivasan (ACM Trans. Math. Softw., 2000)

Corrigendum: Algorithm 806: SPRNG: a scalable library for pseudorandom number generation. - Michael Mascagni; Ashok Srinivasan (ACM Trans. Math. Softw., 2000)

A Feynman-Kac Path-Integral Implementation for Poisson's Equation. - Chi-Ok Hwang; Michael Mascagni (International Conference on Computational Science (1), 2001)

Continuous Path Brownian Trajectories for Diffusion Monte Carlo via First- and Last-Passage Distributions. - James A. Given; Michael Mascagni; Chi-Ok Hwang (LSSC, 2001)

Rapid Diffusion Monte Carlo Algorithms for Fluid Dynamic Permeability. - Chi-Ok Hwang; Michael Mascagni; James A. Given (Monte Carlo Methods Appl., 2001)

A Quasi-Monte Carlo Method for Elliptic Boundary Value Problems. - Michael Mascagni; Aneta Karaivanova; Yaohang Li (Monte Carlo Methods Appl., 2001)

Grid-Based Monte Carlo Application. - Yaohang Li; Michael Mascagni (GRID, 2002)

A Parallel Quasi-Monte Carlo Method for Solving Systems of Linear Equations. - Michael Mascagni; Aneta Karaivanova (International Conference on Computational Science (2), 2002)

Monte Carlo Techniques for Estimating the Fiedler Vector in Graph Applications. - Ashok Srinivasan; Michael Mascagni (International Conference on Computational Science (2), 2002)

A Monte Carlo Approach for Finding More than One Eigenpair. - Michael Mascagni; Aneta Karaivanova (Numerical Methods and Application, 2002)

Improving Performance via Computational Replication on a Large-Scale Computational Grid. - Yaohang Li; Michael Mascagni (CCGRID, 2003)

Grid-based Nonequilibrium Multiple-Time Scale Molecular Dynamics/Brownian Dynamics Simulations of Ligand-Receptor Interactions in Structured Protein Systems. - Yaohang Li; Michael Mascagni; Michael H. Peter (CCGRID, 2003)

Monte Carlo Method for Calculating the Electrostatic Energy of a Molecule. - Michael Mascagni; Nikolai A. Simonov (International Conference on Computational Science, 2003)

Solving BVPs Using Quasirandom Walks on the Boundary. - Aneta Karaivanova; Michael Mascagni; Nikolai A. Simonov (LSSC, 2003)

Computational Infrastructure for Parallel, Distributed, and Grid-Based Monte Carlo Computations. - Michael Mascagni; Yaohang Li (LSSC, 2003)

GCIMCA: A Globus and SPRNG Implementation of a Grid-Computing Infrastructure for Monte Carlo Applications. - Yaohang Li; Michael Mascagni; Robert van Engelen (PDPTA, 2003)

Analysis of Large-Scale Grid-Based Monte Carlo Applications. - Yaohang Li; Michael Mascagni (Int. J. High Perform. Comput. Appl., 2003)

Analysis and comparison of Green's function first-passage algorithms with "Walk on Spheres" algorithms. - Chi-Ok Hwang; Michael Mascagni (Math. Comput. Simul., 2003)

A Feynman-Kac path-integral implementation for Poisson's equation using an h-conditioned Green's function. - Chi-Ok Hwang; Michael Mascagni; James A. Given (Math. Comput. Simul., 2003)

epsilon-Shell error analysis for "Walk On Spheres" algorithms. - Michael Mascagni; Chi-Ok Hwang (Math. Comput. Simul., 2003)

Testing parallel random number generators. - Ashok Srinivasan; Michael Mascagni; David Ceperley (Parallel Comput., 2003)

Parallel Quasirandom Walks on the Boundary. - Aneta Karaivanova; Michael Mascagni; Nikolai A. Simonov (Monte Carlo Methods Appl., 2004)

On the Scrambled Halton Sequence. - Michael Mascagni; Hongmei Chi (Monte Carlo Methods Appl., 2004)

Quasirandom Sequences in Branching Random Walks. - Abdujabor Rasulov; Aneta Karaivanova; Michael Mascagni (Monte Carlo Methods Appl., 2004)

Random Walk Algorithms for Estimating Effective Properties of Digitized Porous Media. - Nikolai A. Simonov; Michael Mascagni (Monte Carlo Methods Appl., 2004)

A Grid Workflow-based Monte Carlo Simultation Environment. - Yaohang Li; Michael Mascagni; Robert A. van Engelen; Qin Cai (Neural Parallel Sci. Comput., 2004)

Parallel linear congruential generators with Sophie-Germain moduli. - Michael Mascagni; Hongmei Chi (Parallel Comput., 2004)

Parameterizing parallel multiplicative lagged-Fibonacci generators. - Michael Mascagni; Ashok Srinivasan (Parallel Comput., 2004)

Monte Carlo Methods for Calculating Some Physical Properties of Large Molecules. - Michael Mascagni; Nikolai A. Simonov (SIAM J. Sci. Comput., 2004)

On the Scrambled Sobol Sequence. - Hongmei Chi; Peter Beerli; Deidre W. Evans; Michael Mascagni (International Conference on Computational Science (3), 2005)

An Efficient Monte Carlo Approach for Solving Linear Problems in Biomolecular Electrostatics. - Charles Fleming; Michael Mascagni; Nikolai A. Simonov (International Conference on Computational Science (3), 2005)

Grid-based Quasi-Monte Carlo Applications. - Yaohang Li; Michael Mascagni (Monte Carlo Methods Appl., 2005)

On the optimal Halton sequence. - Hongmei Chi; Michael Mascagni; T. Warnock (Math. Comput. Simul., 2005)

Efficient Generation of Parallel Quasirandom Faure Sequences Via Scrambling. - Hongmei Chi; Michael Mascagni (International Conference on Computational Science (1), 2007)

Decentralized Replica Exchange Parallel Tempering: An Efficient Implementation of Parallel Tempering Using MPI and SPRNG. - Yaohang Li; Michael Mascagni; Andrey Gorin (ICCSA (3), 2007)

Random Number Generation for serial, parallel, distributed, and Grid-based financial computations. - Michael Mascagni (IPDPS, 2008)

Scrambled Soboĺ sequences via permutation. - Michael Mascagni; Haohai Yu (Monte Carlo Methods Appl., 2009)

A decentralized parallel implementation for parallel tempering algorithm. - Yaohang Li; Michael Mascagni; Andrey Gorin (Parallel Comput., 2009)

Monte Carlo methods for computing the capacitance of the unit cube. - Chi-Ok Hwang; Michael Mascagni; Taeyoung Won (Math. Comput. Simul., 2010)

Monte Carlo solution of Cauchy problem for a nonlinear parabolic equation. - Abdujabor Rasulov; Gulnora Raimova; Michael Mascagni (Math. Comput. Simul., 2010)

Parallel random number generators in Monte Carlo derivative pricing: An application-based test. - Michael Mascagni; Lin-Yee Hin (Monte Carlo Methods Appl., 2012)

Parallel pseudo-random number generators: A derivative pricing perspective with the Heston stochastic volatility model. - Michael Mascagni; Lin-Yee Hin (Monte Carlo Methods Appl., 2013)

Convergence Analysis of Markov Chain Monte Carlo Linear Solvers Using Ulam-von Neumann Algorithm. - Hao Ji; Michael Mascagni; Yaohang Li (SIAM J. Numer. Anal., 2013)

High performance computing in quantitative finance: A review from the pseudo-random number generator perspective. - Michael Mascagni; Yue Qiu; Lin-Yee Hin (Monte Carlo Methods Appl., 2014)

Memory efficient lagged-Fibonacci random number generators for GPU supercomputing. - Timothy D. Andersen; Michael Mascagni (Monte Carlo Methods Appl., 2015)

A Parallel Random Walk Solver for the Capacitance Calculation Problem in Touchscreen Design. - Zhezhao Xu; Wenjian Yu; Chao Zhang; Bolong Zhang; Meijuan Lu; Michael Mascagni (ACM Great Lakes Symposium on VLSI, 2016)

Acceleration and Parallelization of ZENO/Walk-on-Spheres. - Derek Juba; Walid Keyrouz; Michael Mascagni; Mary Brady (ICCS, 2016)

Validating the Correctness of Outsourced Computational Tasks Using Pseudorandom Number Generators. - Yaohang Li; Ravi Mukkamala; Michael Mascagni (DASC/PiCom/DataCom/CyberSciTech, 2017)

Feistel-inspired scrambling improves the quality of linear congruential generators. - Asia Aljahdali; Michael Mascagni (Monte Carlo Methods Appl., 2017)

The Impact of Soft Error Event Topography on the Reliability of Computer Memories. - Christopher Ogden; Michael Mascagni (IEEE Trans. Reliab., 2017)

Three Numerical Reproducibility Issues That Can Be Explained as Round-Off Error. - Michael Mascagni (ISC Workshops, 2019)

SpaRC: scalable sequence clustering using Apache Spark. - Lizhen Shi; Xiandong Meng; Elizabeth Tseng; Michael Mascagni; Zhong Wang 003 (Bioinform., 2019)

CRE2017 Special Issue Introduction IJHPCA. - Michael Mascagni (Int. J. High Perform. Comput. Appl., 2019)

A computational investigation of the optimal Halton sequence in QMC applications. - Manal Bayousef; Michael Mascagni (Monte Carlo Methods Appl., 2019)

Geometry entrapment in Walk-on-Subdomains. - Preston Hamlin; W. John Thrasher; Walid Keyrouz; Michael Mascagni (Monte Carlo Methods Appl., 2019)

Revisiting Kac's method: A Monte Carlo algorithm for solving the Telegrapher's equations. - Bolong Zhang; Wenjian Yu; Michael Mascagni (Math. Comput. Simul., 2019)

CRE2019 Special Issue Introduction IJHPCA. - Walid Keyrouz; Michael Mascagni (Int. J. High Perform. Comput. Appl., 2020)

Non-replicability circumstances in a neural network model with Hodgkin-Huxley-type neurons. - Wilfredo Blanco; Paulo H. Lopes; Anderson Abner de S. Souza; Michael Mascagni (J. Comput. Neurosci., 2020)

Gaussian variant of Freivalds' algorithm for efficient and reliable matrix product verification. - Hao Ji; Michael Mascagni; Yaohang Li (Monte Carlo Methods Appl., 2020)

Examining sharp restart in a Monte Carlo method for the linearized Poisson-Boltzmann equation. - W. John Thrasher; Michael Mascagni (Monte Carlo Methods Appl., 2020)

Scrambling additive lagged-Fibonacci generators. - Haifa Aldossari; Michael Mascagni (Monte Carlo Methods Appl., 2022)

A random walk algorithm to estimate a lower bound of the star discrepancy. - Maryam Alsolami; Michael Mascagni (Monte Carlo Methods Appl., 2022)

A Metropolis random walk algorithm to estimate a lower bound of the star discrepancy. - Maryam Alsolami; Michael Mascagni (Monte Carlo Methods Appl., 2023)

Pass-efficient randomized LU algorithms for computing low-rank matrix approximation. - Bolong Zhang; Michael Mascagni (Monte Carlo Methods Appl., 2023)