Random Number Generators on Vector Supercomputers and Other Advanced Architectures
Stuart L. Anderson · SIAM Review · 1990
This paper is divided into three parts. The first part surveys the more common techniques for generating and testing uniformly distributed random numbers. The second part considers the efficient generation of random numbers on vector computers. The third part discusses the generation and use of random numbers in multitasking environments (which may include multiple processor computers).