38 citations · 89 across the 7 of their papers we have counts for
7 papers
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…
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…
A Subset of the CERN Virtual Machine File System: Fast Delivering of Complex Software Stacks for Supercomputing Resources
Alexandre F Boyer, Christophe Haen, Federico Stagni +1
Delivering a reproducible environment along with complex and up-to-date software stacks on thousands of distributed and heterogeneous worker nodes is a critical task. The CernVM-Fi…
Measurement of observables in and decays
LHCb collaboration, R. Aaij, B. Adeva +803
Measurements of observables in and decays are presented, where indicates a neutral or m…
First experimental study of photon polarization in radiative decays
LHCb collaboration, R. Aaij, B. Adeva +765
The polarization of photons produced in radiative decays is studied for the first time. The data are recorded by the LHCb experiment in collisions corresponding to…
Reliable Initialization of GPU-enabled Parallel Stochastic Simulations Using Mersenne Twister for Graphics Processors
Jonathan Passerat-Palmbach, Claude Mazel, Antoine Mahul +1
Parallel stochastic simulations tend to exploit more and more computing power and they are now also developed for General Purpose Graphics Process Units (GP-GPUs). Conse-quently, t…