International audienceWe examine the requirements and the available methods and software to provide (or imitate) uniform random numbers in parallel computing environments. In this context, for the great majority of applications, independent streams of random numbers are required, each being computed on a single processing element at a time. Sometimes, thousands or even millions of such streams are needed. We explain how they can be produced and managed. We devote particular attention to multiple streams for GPU devices
We consider the requirements for uniform pseudo-random number generators on modern vector and parall...
Fast and reliable pseudo-random number generators are required for simulation and other applications...
this article is devoted, because these com1 putations require the highest quality of random numbers....
International audienceWe examine the requirements and the available methods and software to provide ...
We examine the requirements and the available methods and software to provide (or imitate) uniform r...
International audienceWe provide a review of the state of the art on the design and implementation o...
We provide a review of the state of the art on the design and implementation of random number genera...
International audienceRandom number generation is a key element of stochastic simulations. It has be...
International audienceThere is an increasing interest in the distribution of parallel random number ...
International audienceStochastic simulations are often sensitive to the source of randomness that ch...
The future of high-performance computing is aligning itself towards the efficient use of highly para...
Monte Carlo methods provide approximate numerical solutions to problems that would be difficult or i...
We consider the requirements for uniform pseudo-random number generators on modern vector and parall...
International audienceRandom number generation is a key element of stochastic simulations. It has be...
The race to computing power increases every day in the simulation community. A few years ago, scient...
We consider the requirements for uniform pseudo-random number generators on modern vector and parall...
Fast and reliable pseudo-random number generators are required for simulation and other applications...
this article is devoted, because these com1 putations require the highest quality of random numbers....
International audienceWe examine the requirements and the available methods and software to provide ...
We examine the requirements and the available methods and software to provide (or imitate) uniform r...
International audienceWe provide a review of the state of the art on the design and implementation o...
We provide a review of the state of the art on the design and implementation of random number genera...
International audienceRandom number generation is a key element of stochastic simulations. It has be...
International audienceThere is an increasing interest in the distribution of parallel random number ...
International audienceStochastic simulations are often sensitive to the source of randomness that ch...
The future of high-performance computing is aligning itself towards the efficient use of highly para...
Monte Carlo methods provide approximate numerical solutions to problems that would be difficult or i...
We consider the requirements for uniform pseudo-random number generators on modern vector and parall...
International audienceRandom number generation is a key element of stochastic simulations. It has be...
The race to computing power increases every day in the simulation community. A few years ago, scient...
We consider the requirements for uniform pseudo-random number generators on modern vector and parall...
Fast and reliable pseudo-random number generators are required for simulation and other applications...
this article is devoted, because these com1 putations require the highest quality of random numbers....