Modern methods and libraries for high quality pseudorandom number generation and for generation of parallel random number streams for Monte Carlo simulations are considered. The probability equidistribution property and the parameters when the property holds at dimensions up to logarithm of mesh size are considered for Multiple Recursive Generators.</p
Includes bibliographical references (pages 91-93)This paper is an examination of the generation of r...
This chapter covers the basic design principles and methods for uniform random number generators use...
We consider the requirements for uniform pseudo-random number generators on modern vector and parall...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
Monte-Carlo simulations are common and inherently well suited to parallel processing, thus requiring...
Pseudorandom number generators are widely used in the area of simulation. Defective generators are s...
PARALLEL IMPLEMENTATION CHI-OK HWANG Abstract. Pseudo-random number sequences have been used in Mont...
Monte Carlo simulations have become a common practice to evaluate a proposed statistical procedure, ...
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...
International audienceThere is an increasing interest in the distribution of parallel random number ...
We provide a review of the state of the art on the design and implementation of random number genera...
International audienceWe provide a review of the state of the art on the design and implementation o...
A significant problem faced by scientific investigation of complex modern systems is that credible s...
Efficient random number generation with high quality statistical properties and exact reproducibilit...
Includes bibliographical references (pages 91-93)This paper is an examination of the generation of r...
This chapter covers the basic design principles and methods for uniform random number generators use...
We consider the requirements for uniform pseudo-random number generators on modern vector and parall...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
Monte-Carlo simulations are common and inherently well suited to parallel processing, thus requiring...
Pseudorandom number generators are widely used in the area of simulation. Defective generators are s...
PARALLEL IMPLEMENTATION CHI-OK HWANG Abstract. Pseudo-random number sequences have been used in Mont...
Monte Carlo simulations have become a common practice to evaluate a proposed statistical procedure, ...
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...
International audienceThere is an increasing interest in the distribution of parallel random number ...
We provide a review of the state of the art on the design and implementation of random number genera...
International audienceWe provide a review of the state of the art on the design and implementation o...
A significant problem faced by scientific investigation of complex modern systems is that credible s...
Efficient random number generation with high quality statistical properties and exact reproducibilit...
Includes bibliographical references (pages 91-93)This paper is an examination of the generation of r...
This chapter covers the basic design principles and methods for uniform random number generators use...
We consider the requirements for uniform pseudo-random number generators on modern vector and parall...