Premium
Parallelization of a large‐scale computational earthquake simulation program
Author(s) -
Tiampo K. F.,
Rundle J. B.,
Hopper P.,
Martins J. Sá,
Gross S.,
McGinnis S.
Publication year - 2002
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.621
Subject(s) - computer science , block (permutation group theory) , scale (ratio) , simple (philosophy) , software , parallel computing , monte carlo method , field (mathematics) , architecture , computational science , computer program , supercomputer , programming language , art , philosophy , statistics , physics , geometry , mathematics , epistemology , quantum mechanics , pure mathematics , visual arts
Abstract Here we detail both the methods and preliminary results of the first efforts to parallelize three General Earthquake Model (GEM)‐related codes: (1) a relatively simple data mining procedure based on a genetic algorithm; (2) a mean‐field slider block model; and (3) the Virtual California simulation of GEM. These preliminary results, using a simple, heterogeneous system of processors, existing freeware and an extremely low initial cost in both manpower and hardware dollars, motivate us to more ambitious work with considerably larger‐scale computer earthquake simulations of southern California. The GEM omputational problem, which is essentially a Monte Carlo simulation, is well suited to optimization on parallel computers and we outline how we are proceeding in implementing this new software architecture. Copyright © 2002 John Wiley & Sons, Ltd.