Effective Monte Carlo simulation on System-V massively parallel associative string processing architecture
Computational Physics
2016-11-15 v1 Statistical Mechanics
High Energy Physics - Lattice
Abstract
We show that the latest version of massively parallel processing associative string processing architecture (System-V) is applicable for fast Monte Carlo simulation if an effective on-processor random number generator is implemented. Our lagged Fibonacci generator can produce random numbers on a processor string of 12K PE-s. The time dependent Monte Carlo algorithm of the one-dimensional non-equilibrium kinetic Ising model performs 80 faster than the corresponding serial algorithm on a 300 MHz UltraSparc.
Cite
@article{arxiv.physics/9909054,
title = {Effective Monte Carlo simulation on System-V massively parallel associative string processing architecture},
author = {G. Odor and A. Krikelis and F. Vesztergombi and F. Rohrbach},
journal= {arXiv preprint arXiv:physics/9909054},
year = {2016}
}
Comments
8 pages, 9 color ps figures embedded