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M. Erez, J. H. Ahn, et al., “Merrimac-supercomputing with streams,” Proceedings of the 2004 SIGGRAPH GP^2 Workshop on General Purpose Computing on Gra- phics Processors, Los Angeles, California, June 2004.

has been cited by the following article:

• TITLE: Exploiting Loop-Carried Stream Reuse for Scientific Computing Applications on the Stream Processor

  AUTHORS: Weixia XU, Qiang DOU, Ying ZHANG, Gen LI, Xuejun YANG

  KEYWORDS: Stream Reuse, Loop-Carried, Stream Processor

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.3 No.1, January 20, 2010

  ABSTRACT: Compared with other stream applications, scientific stream programs are usually bound by memory accesses. Reusing streams across different iterations, i.e. loop-carried stream reuse, can effectively improve the SRF locality, thus reducing memory accesses greatly. In the paper, we first present the algorism identifying loop-carried stream reuse and that exploiting the reuse after analyzing scientific computing applications. We then perform several representative microbenchmarks and scientific stream programs with and without our optimization on Isim, a cycle-accurate stream processor simulator. Experimental results show that our algorithms can effectively exploit loop-carried stream reuse for scientific stream programs and thus greatly improve the performance of memory-bound scientific stream programs.