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Parallel And Distributed Simulations (PADS) become more and more spread since scientists always want more accurate results in the shortest time. PADS are often sensitive to several parameters, and when they own a stochastic component, one has to ensure he knows how to correctly deal with randomness in a parallel application. This point can appear to be very tricky for non-experts, who might be tempted...
Stochastic simulations are often sensitive to the source of randomness that characterizes the statistical quality of their results. Consequently, we need highly reliable Random Number Generators (RNGs) to feed such applications. Recent developments try to shrink the computation time by relying more and more General Purpose Graphics Processing Units (GPGPUs) to speedup stochastic simulations. Such...
Stochastic simulations are often sensitive to the randomness source that characterizes the statistical quality of their results. Consequently, we need highly reliable Random Number Generators (RNGs) to feed such applications. Recent developments try to shrink the computation time by using more and more General Purpose Graphics Processing Units (GP-GPUs) to speed-up stochastic simulations. Such devices...
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