Parallel Processing Experiments on an SCI-based Workstation Cluster

* Dr. Rosen is with the Naval Air Warfare Center, Aircraft Division, Warminster, PA Abstract This paper describes the SCI-based workstation cluster system being developed at the HCS Research Lab and the parallel processing and network experiments that have been conducted and the results achieved. Using several different input sizes and degrees of partitioning and granularity for the parallel processing algorithms employed (i.e. matrix multiply and data sorting) and experimenting with both ringand switchbased topologies and other permutations (e.g. number of workstations), significant reductions in execution time have been achieved. These results help to illustrate what types of parallelism can be achieved today on SCI-based workstation clusters.