SPRNG is a set of libraries for scalable and portable pseudorandom number generation, and has been developed keeping in mind the requirements of users involved in parallel Monte Carlo simulations.

Monte Carlo calculations consume a large fraction of all supercomputing cycles. The accuracy of these computations is critically influenced by the quality of the random number generators used. While the issue of random number generation in sequential calculations has been well studied, albeit on less powerful computers, there has been comparatively less work done in the context of parallel Monte Carlo applications. SPRNG seeks to fill this gap by implementing parallel random number generators that satisfy the requirements given below.