39 citations · 40 across the 4 of their papers we have counts for
4 papers
ASSESSING THE STOCHASTIC PROPERTIES OF MODERN PSEUDO-RANDOM GENERATORS FOR PARALLEL COMPUTING
Théau Wartel, David R. C. Hill
Pseudo-random number generators (PRNGs) are widely used in modern computing and are expected to exhibit excellent statistical performance and repeatability. This study evaluates an…
Reproducibility, energy efficiency and performance of pseudorandom number generators in machine learning: a comparative study of python, numpy, tensorflow, and pytorch implementations
Benjamin Antunes, David R. C Hill
Pseudo-Random Number Generators (PRNGs) have become ubiquitous in machine learning technologies because they are interesting for numerous methods. The field of machine learning hol…
Reproducibility, Replicability, and Repeatability: A survey of reproducible research with a focus on high performance computing
Benjamin A. Antunes, David R. C. Hill
Reproducibility is widely acknowledged as a fundamental principle in scientific research. Currently, the scientific community grapples with numerous challenges associated with repr…
Identifying Quality Mersenne Twister Streams For Parallel Stochastic Simulations
Benjamin Antunes, Claude Mazel, David R. C Hill
The Mersenne Twister (MT) is a pseudo-random number generator (PRNG) widely used in High Performance Computing for parallel stochastic simulations. We aim to assess the quality of…