PARALLELIZATION OF THE 2D SWENDSEN–WANG ALGORITHM

R. Hackl, H.-G. Matuttis, J. M. Singer, Th. Husslein and I. Morgenstern
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R. Hackl: Instit für Physik II, Universität Regensburg, Universitätsstraβe 31, 93053 Regensburg, Germany
H.-G. Matuttis: Instit für Physik II, Universität Regensburg, Universitätsstraβe 31, 93053 Regensburg, Germany;
J. M. Singer: Instit für Physik II, Universität Regensburg, Universitätsstraβe 31, 93053 Regensburg, Germany
Th. Husslein: Instit für Physik II, Universität Regensburg, Universitätsstraβe 31, 93053 Regensburg, Germany
I. Morgenstern: Instit für Physik II, Universität Regensburg, Universitätsstraβe 31, 93053 Regensburg, Germany

International Journal of Modern Physics C (IJMPC), 1993, vol. 04, issue 06, 1117-1130

Abstract: We implemented a parallel Swendsen–Wang algorithm for a 2D Ising system without magnetization in a host–node programming model. The simulations were performed on the Intel Hypercube IPSC/860. Our maximum number of updates/s on 32 nodes ist three times as high as in the implementation by Stauffer and Kertész on the same machine. With 32 processors we reach half the speed of the simulations by Tamayo and Flanigan on 256 nodes of a CM5. We discuss the non–equilibrium relaxation for the energy and the magnetization.

Keywords: Cluster Algorithms; Swendsen Wang; Parallelization; Host–node–modell (search for similar items in EconPapers)
Date: 1993
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DOI: 10.1142/S0129183193000872

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