Parallelization of a large-scale computational earthquake simulation program
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 computational 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 (C) 2002 John Wiley Sons, Ltd.
genetic algorithm parallel computing earthquake fault simulation