335 citations · 583 across the 23 of their papers we have counts for
3 papers · 1 filter
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…
Warp-Level Parallelism: Enabling Multiple Replications In Parallel on GPU
Jonathan Passerat-Palmbach, Jonathan Caux, Pridi Siregar +2
Stochastic simulations need multiple replications in order to build confidence intervals for their results. Even if we do not need a large amount of replications, it is a good prac…
How to Correctly Deal With Pseudorandom Numbers in Manycore Environments - Application to GPU programming with Shoverand
Jonathan Passerat-Palmbach, David Hill
Stochastic simulations are often sensitive to the source of randomness that character-izes the statistical quality of their results. Consequently, we need highly reliable Random Nu…