International audienceIn this paper, we present some investigations on the parallelization of stochastic Lagrangian simulations. The challenge is the proper management of the random numbers. We review two different object-oriented strategies: to draw the random numbers on the fly within each MPI's process or to use a different random number generator for each simulated path. We show the benefits of the second technique which is implemented in the PALMTREE software developed by the Project-team Sage of Inria Rennes. The efficiency of PALMTREE is demonstrated on two classical examples
We show that the latest version of massively parallel processing associative string processing archi...
Monte carlo simulation is one of the techniques used to generate pseudorandomnumbers which can compr...
A signi cant problem faced by scienti c investigation of complex modern systems is that credible sim...
International audienceIn this paper, we present some investigations on the parallelization of stocha...
International audienceThere is an increasing interest in the distribution of parallel random number ...
Contrary to deterministic models, the execution of stochastic models depends on the realization of r...
International audienceParallel stochastic simulations tend to exploit more and more computing power ...
International audienceRandom number generation is a key element of stochastic simulations. It has be...
International audienceRandom number generation is a key element of stochastic simulations. It has be...
The reproducibility of numerical experiments on high performance computing systems is sometimes over...
Distributed stochastic simulations has become a popular tool for evaluating and testing complex sto...
DémonstrationInternational audienceMonte Carlo simulations needing many replicates to obtain good st...
The original publication is available at www.springerlink.comThis paper presents a parallel computat...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
We show that the latest version of massively parallel processing associative string processing archi...
Monte carlo simulation is one of the techniques used to generate pseudorandomnumbers which can compr...
A signi cant problem faced by scienti c investigation of complex modern systems is that credible sim...
International audienceIn this paper, we present some investigations on the parallelization of stocha...
International audienceThere is an increasing interest in the distribution of parallel random number ...
Contrary to deterministic models, the execution of stochastic models depends on the realization of r...
International audienceParallel stochastic simulations tend to exploit more and more computing power ...
International audienceRandom number generation is a key element of stochastic simulations. It has be...
International audienceRandom number generation is a key element of stochastic simulations. It has be...
The reproducibility of numerical experiments on high performance computing systems is sometimes over...
Distributed stochastic simulations has become a popular tool for evaluating and testing complex sto...
DémonstrationInternational audienceMonte Carlo simulations needing many replicates to obtain good st...
The original publication is available at www.springerlink.comThis paper presents a parallel computat...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
We show that the latest version of massively parallel processing associative string processing archi...
Monte carlo simulation is one of the techniques used to generate pseudorandomnumbers which can compr...
A signi cant problem faced by scienti c investigation of complex modern systems is that credible sim...