Evaluation of parallel performance of large scale computing using workstation network

Abstract

Since the computing environment with many workstations on networks has recently become available, these workstations can be regarded as a virtual parallel computer, or a workstation cluster to perform finite element analyses. The parallel performance of finite element algorithms, such as the Gaussian elimination method, the conkugate gradient method and the domain decomposition method, depends strongly on the parallel parameters in the cluster system. The method to evaluate the parallel computational time and to optimize the parallel parameters are presented. The parallel computing systems are developed based on these techniques and applied to a large scale problem with 350,000 degrees of freedom using twenty-one workstations.