FT64: Scientific Computing with Streams

This paper describes FT64 and Multi-FT64, single- and multi-coprocessor 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

• Type: Conference
• Year: 2007
• Where: HIPC
• Authors: Mei Wen, Nan Wu, Chunyuan Zhang, Wei Wu, Qianming Yang, Changqing Xun
• Keywords: Distributed And Parallel Computing, HIPC 2007, Kernel Processing Granularity, Mersenne Prime Search, Performance Scientific Computing