We will look at random number generation from the point-of-view of Monte Carlo computations. Thus, we will examine several serial methods of pseudorandom number generation and two different parallelization techniques. Among the techniques discussed with be "parameterization," which forms the basis for the Scalable Parallel Random Number Generators (SPRNG) library. SPRNG was developed several years ago by the author, and has become widely used within the international Monte Carlo community. SPRNG is briefly described, and the lecture ends with a short revue of quasirandom number generation. Quasirandom numbers offer many Monte Carlo applications the advantage of superior convergence rates. We also discuss plans for a new version ...
this article is devoted, because these com1 putations require the highest quality of random numbers....
The future of high-performance computing is aligning itself towards the efficient use of highly para...
Efficient random number generation with high quality statistical properties and exact reproducibilit...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
In this article Re present background, rationale, and a description of the Scalable Parallel Random ...
Monte-Carlo simulations are common and inherently well suited to parallel processing, thus requiring...
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, ...
Random number generators are used in many applications, from slot machines to simulations of nuclear...
The quality of random number generators can affect the results of Monte Carlo computations, especial...
The Scalable Parallel Random Number Generators library (SPRNG) is widely used due to its speed, qual...
Modern methods and libraries for high quality pseudorandom number generation and for generation of p...
this report we shall present the fundamentals of random number generation on parallel processors. We...
Monte Carlo methods provide approximate numerical solutions to problems that would be difficult or i...
Includes bibliographical references (pages 91-93)This paper is an examination of the generation of r...
this article is devoted, because these com1 putations require the highest quality of random numbers....
The future of high-performance computing is aligning itself towards the efficient use of highly para...
Efficient random number generation with high quality statistical properties and exact reproducibilit...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
In this article Re present background, rationale, and a description of the Scalable Parallel Random ...
Monte-Carlo simulations are common and inherently well suited to parallel processing, thus requiring...
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, ...
Random number generators are used in many applications, from slot machines to simulations of nuclear...
The quality of random number generators can affect the results of Monte Carlo computations, especial...
The Scalable Parallel Random Number Generators library (SPRNG) is widely used due to its speed, qual...
Modern methods and libraries for high quality pseudorandom number generation and for generation of p...
this report we shall present the fundamentals of random number generation on parallel processors. We...
Monte Carlo methods provide approximate numerical solutions to problems that would be difficult or i...
Includes bibliographical references (pages 91-93)This paper is an examination of the generation of r...
this article is devoted, because these com1 putations require the highest quality of random numbers....
The future of high-performance computing is aligning itself towards the efficient use of highly para...
Efficient random number generation with high quality statistical properties and exact reproducibilit...