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Scaling properties of geometric parallelization

A. Jakobs and R.W. Gerling

Physica A: Statistical Mechanics and its Applications, 1992, vol. 180, issue 3, 407-418

Abstract: We present a universal scaling law for all geometrically parallelized computer simulation algorithms. For algorithms with local interaction laws we calculate the scaling exponents for zero and infinite lattice size. The scaling is tested on local (cellular automata, Metropolis Ising) as well as cluster (Swendsen-Wang) algorithms. The practical aspects of the scaling properties lead to a simple recipe for finding the optimum number of processors to be used for the parallel simulation of a particular system.

Date: 1992
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:180:y:1992:i:3:p:407-418

DOI: 10.1016/0378-4371(92)90397-9

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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