A parallel architecture for metropolis simulation of systems with long range interactions

Author

Anzaldi, E. ; Danese, G. ; De Lotto, I. ; Dotti, D. ; Leporati, F. ; Lombardi, R. ; Prata, F. ; Romano, S.

Author_Institution

Dipartimento di Inf. e Sistemistica, Pavia Univ., Italy

fYear

1991

fDate

13-16 May 1991

Firstpage

835

Lastpage

839

Abstract

A parallel architecture is presented which is based on the Intel i860 RISC-processor and split into two subgroups of processors: the first designed to execute Monte Carlo loops, and the second to assess the statistical parameters. This approach enables efficient parallelization because data-transfer recurrence among processor groups is relatively small. With regard to the Monte Carlo-Metropolis algorithm (1953) the authors expect to reach performances higher than those given by present generation of CRAYs

Keywords

Monte Carlo methods; digital simulation; parallel architectures; parallel machines; physics computing; special purpose computers; statistical mechanics; 1200 MFLOPS; Intel i860 RISC-processor; Monte Carlo loops; Monte Carlo-Metropolis algorithm; data-transfer recurrence; long range interactions; metropolis simulation; parallel architecture; parallelization; statistical parameters; Central Processing Unit; Computational modeling; Computer simulation; Costs; Flowcharts; Parallel architectures; Parallel processing; Partitioning algorithms; Physics computing; Process design;

fLanguage

English

Publisher

ieee

Conference_Titel

CompEuro '91. Advanced Computer Technology, Reliable Systems and Applications. 5th Annual European Computer Conference. Proceedings.

Conference_Location

Bologna

Print_ISBN

0-8186-2141-9

Type

conf

DOI

10.1109/CMPEUR.1991.257499

Filename

257499