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Parallel Algorithm Design and Performance Evaluation of FDTD on 3 Different Architectures: Cluster, Homogeneous Multicore and Cell/B.E.

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2 Author(s)
Meilian Xu ; Dept. of Comput. Sci., Univ. of Manitoba, Winnipeg, MB ; Thulasiraman, P.

Clusters built from single-core systems are cost-effective as for the performance improvement and availability. However, the hardware constraints put limitations on the performance of single-core systems. Hence, it is difficult to meet with the increasing high performance requirements of diversified applications at different levels for general purpose computing. A promising feasible solution is the novice multi-core systems which extend the parallelism to CPU level by integrating multiple processing units on a single die. This paper uses finite-difference time-domain (FDTD) algorithm as a case study, designing suitable parallel FDTD algorithms for three architectures: distributed-memory machines with single-core processors, shared-memory machines with dual-core processors, and the Cell Broadband Engine (Cell/B.E.) processor with nine heterogeneous cores. The experiment results show that the Cell/B.E. processor using 8 SPEs achieves a significant speedups of 7.05 faster than AMD single-core Opteron processor and 3.37 than AMD dual-core Opeteron processor at the processor level.

Published in:

High Performance Computing and Communications, 2008. HPCC '08. 10th IEEE International Conference on

Date of Conference:

25-27 Sept. 2008