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New challenges will arise with the emergence or Exascale systems. Such challenges are linked power consumption, Input/Ouput and memory performances, scalability of highly concurrent and hierarchical systems and the major one could be reliability. Codesign of software tools for Exascale machines and disruptive technologies will help to face the current challenges. In this talk we will focus on benchmarking...
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...
Random number generators are necessary in every simulation which includes stochastic aspects. For High Performance Computing, there is an increasing interest in the distribution of parallel random number streams. Even if we have now at our disposal statistically sound random number generators according to very tough testing libraries, their parallelization can still be a delicate problem. A set of...
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