Parallel program performance evaluation and their behavior analysis on an OpenMP cluster

The OpenMP API is an emerging standard for parallel programming on shared memory multiprocessors. In order to run an OpenMP program on a cluster, one feasible scheme is to translate the OpenMP program into a software DSM program, then execute it on the cluster. Evaluating the performance of OpenMP programs and analyzing their behavior will help support the OpenMP programming model on a software DSM cluster efficiently. In this paper, we use an experimental approach to investigate how the characteristics of the software DSM cluster and the translation together with the original program behavior determine the performance of OpenMP programs on software DSM clusters.