Fast vectorized algorithm for the Monte Carlo Simulation of the Random Field Ising Model

Abstract

An algoritm for the simulation of the 3--dimensional random field Ising model with a binary distribution of the random fields is presented. It uses multi-spin coding and simulates 64 physically different systems simultaneously. On one processor of a Cray YMP it reaches a speed of 184 Million spin updates per second. For smaller field strength we present a version of the algorithm that can perform 242 Million spin updates per second on the same machine.

13 pp., HLRZ 53/92

References in corpus (1)

• Boolean derivatives and computation of cellular automata

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