We consider pseudo-random number generators suitable for vector processors. In particular, we describe vectorised implementations of the Box-Muller and Polar methods, and show that they give good performance on the Fujitsu VP2200. We also consider some other popular methods, e.g. the Ratio method and the method of Von Neumann and Forsythe, and show why they are unlikely to be competitive with the Polar method on vector processors
This work considers the deployment of pseudo-random number generators (PRNGs) on graphics processing...
this report we shall present the fundamentals of random number generation on parallel processors. We...
ii A simple and inexpensive pseudo-random number generator has been designed and built using linear ...
We consider the requirements for uniform pseudo-random number generators on modern vector and parall...
We consider the requirements for uniform pseudo-random number generators on modern vector and parall...
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...
Project Specification This project concerns the field of vectorization for Computing in High Energy...
In a recent paper, Richard Crandall and the present author established that each of a certain class ...
Efficient random number generation with high quality statistical properties and exact reproducibilit...
In this article Re present background, rationale, and a description of the Scalable Parallel Random ...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
Pseudo random number generation (PRNG) play an important role in many areas of computational science...
AbstractGood theoretical work on algorithms is often defeated by a poor computer implementation. Thi...
In this paper we consider pseudo-random uniformly distributed number generators, such as xorshif t a...
This work considers the deployment of pseudo-random number generators (PRNGs) on graphics processing...
this report we shall present the fundamentals of random number generation on parallel processors. We...
ii A simple and inexpensive pseudo-random number generator has been designed and built using linear ...
We consider the requirements for uniform pseudo-random number generators on modern vector and parall...
We consider the requirements for uniform pseudo-random number generators on modern vector and parall...
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...
Project Specification This project concerns the field of vectorization for Computing in High Energy...
In a recent paper, Richard Crandall and the present author established that each of a certain class ...
Efficient random number generation with high quality statistical properties and exact reproducibilit...
In this article Re present background, rationale, and a description of the Scalable Parallel Random ...
We will look at random number generation from the point-of-view of Monte Carlo computations. Thus...
Pseudo random number generation (PRNG) play an important role in many areas of computational science...
AbstractGood theoretical work on algorithms is often defeated by a poor computer implementation. Thi...
In this paper we consider pseudo-random uniformly distributed number generators, such as xorshif t a...
This work considers the deployment of pseudo-random number generators (PRNGs) on graphics processing...
this report we shall present the fundamentals of random number generation on parallel processors. We...
ii A simple and inexpensive pseudo-random number generator has been designed and built using linear ...