International audienceWe provide a review of the state of the art on the design and implementation of random number generators (RNGs) for simulation, on both sequential and parallel computing environments. We focus on the need for multiple streams and substreams of random numbers, explain how they can be constructed and managed, review software libraries that offer them, and illustrate their usefulness via examples. We also review the basic quality criteria for good random number generators and their theoretical and empirical testing
Powerful compute clusters and multi-core systems have become widely available in research and indust...
Winner, ScienceGood random number generators (RNGs) are required for many applications in science an...
In this article Re present background, rationale, and a description of the Scalable Parallel Random ...
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...
Random number generators are used in many applications, from slot machines to simulations of nuclear...
International audienceThere is an increasing interest in the distribution of parallel random number ...
A signi cant problem faced by scienti c investigation of complex modern systems is that credible sim...
International audienceRandom number generation is a key element of stochastic simulations. It has be...
Multiple independent streams of random numbers are often required in simulation studies, for instanc...
International audienceRandom number generation is a key element of stochastic simulations. It has be...
International audienceWe examine the requirements and the available methods and software to provide ...
In many applications, for example cryptography and Monte Carlo simulation, there is need for random ...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus,...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
Powerful compute clusters and multi-core systems have become widely available in research and indust...
Winner, ScienceGood random number generators (RNGs) are required for many applications in science an...
In this article Re present background, rationale, and a description of the Scalable Parallel Random ...
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...
Random number generators are used in many applications, from slot machines to simulations of nuclear...
International audienceThere is an increasing interest in the distribution of parallel random number ...
A signi cant problem faced by scienti c investigation of complex modern systems is that credible sim...
International audienceRandom number generation is a key element of stochastic simulations. It has be...
Multiple independent streams of random numbers are often required in simulation studies, for instanc...
International audienceRandom number generation is a key element of stochastic simulations. It has be...
International audienceWe examine the requirements and the available methods and software to provide ...
In many applications, for example cryptography and Monte Carlo simulation, there is need for random ...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus,...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
Powerful compute clusters and multi-core systems have become widely available in research and indust...
Winner, ScienceGood random number generators (RNGs) are required for many applications in science an...
In this article Re present background, rationale, and a description of the Scalable Parallel Random ...