TESTS OF RANDOM NUMBER GENERATORS USING ISING-MODEL SIMULATIONS

Large-scale Monte Carlo simulations require high-quality random number generators to ensure correct results. The contrapositive of this stat ement is also true - the quality of random number generators can be te sted by using them in large-scale Monte Carlo simulations. We have tes ted many commonly-used random number generators with high precision Mo nte Carlo simulations of the 2-d Ising model using the Metropolis, Swe ndsen-Wang, and Wolff algorithms. This work is being extended to the t esting of random number generators for parallel computers. The results of these tests are presented, along with recommendations for random n umber generators for high-performance computers, particularly for latt ice Monte Carlo simulations.