FT64: scientific computing with streams

Authors:
Mei Wen;Nan Wu;Chunyuan Zhang;Wei Wu;Qianming Yang;Changqing Xun
Affiliations:
National Laboratory for Parallel & Distributed Processing, National University of Defense Technology, Chang Sha, Hu Nan, P.R. of China;National Laboratory for Parallel & Distributed Processing, National University of Defense Technology, Chang Sha, Hu Nan, P.R. of China;National Laboratory for Parallel & Distributed Processing, National University of Defense Technology, Chang Sha, Hu Nan, P.R. of China;National Laboratory for Parallel & Distributed Processing, National University of Defense Technology, Chang Sha, Hu Nan, P.R. of China;National Laboratory for Parallel & Distributed Processing, National University of Defense Technology, Chang Sha, Hu Nan, P.R. of China;National Laboratory for Parallel & Distributed Processing, National University of Defense Technology, Chang Sha, Hu Nan, P.R. of China
Venue:
HiPC'07 Proceedings of the 14th international conference on High performance computing
Year:
2007

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Abstract

This paper describes FT64 and Multi-FT64, single- and multicoprocessor systems designed for high performance scientific computing with streams. We give a detailed case study of porting the Mersenne Prime Search problem to FT64 and Multi-FT64 systems. We discuss several special problems associated with streamizing, such as kernel processing granularity, stream organization and workload partitioning for a multi-processor, which are generally applicable to other scientific codes on FT64. Finally, we perform experiments with eight typical scientific applications on FT64. The results show that a 500MHz FT64 achieves over 50% of its peak performance and a 4.2x peak speedup over 1.6GHz Itanium2. An eight processor Multi-FT64 system achieves 6.8x peak speedup over a single FT64.