Contributor Index

Michael Mascagni is professor of Computer Science, Mathematics, and Scientific
Computing at Florida State University. He is also a Faculty Appointee at the National
Institute for Standards and Technology. Prof. Mascagni expertise is in numerical and
scientific computing, especially in aspects of stochastic computing. In particular, he is an
expert in Monte Carlo methods and rando number generation and their application to
scientific problems and their implementation on high performance computing (HPC)
architectures. In particular, his work on random number generation, and the Scalable
Parallel Random Number Generators (SPRNG) library has included consideration of the
reproducibility of random number streams when computations are undertaken in diverse
HPC environments. SPRNG was absolutely reproducible on distributed memory parallel
machines. This motivated his interest in the more general problem of numerical
reproducibility for HPC systems, especially at the Exascale.