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Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques (2007)
Brasov, Romania
Sept. 15, 2007 to Sept. 19, 2007
ISSN: 1089-795X
ISBN: 0-7695-2944-5
pp: 189-198
Hiroshi Inoue , IBM Tokyo Research Laboratory, Japan
Takao Moriyama , IBM Tokyo Research Laboratory, Japan
Hideaki Komatsu , IBM Tokyo Research Laboratory, Japan
Toshio Nakatani , IBM Tokyo Research Laboratory, Japan
ABSTRACT
Many sorting algorithms have been studied in the past, but there are only a few algorithms that can effectively exploit both SIMD instructions and thread-level parallelism. In this paper, we propose a new parallel sorting algorithm, called Aligned-Access sort (AA-sort), for shared-memory multi processors. The AA-sort algorithm takes advantage of SIMD instructions. The key to high performance is eliminating unaligned memory accesses that would reduce the effectiveness of SIMD instructions. We implemented and evaluated the AA-sort on PowerPC? 970MP and Cell Broadband EngineTM. In summary, a sequential version of the AA-sort using SIMD instructions outperformed IBM?s optimized sequential sorting library by 1.8 times and GPUTeraSort using SIMD instructions by 3.3 times on PowerPC 970MP when sorting 32 M of random 32-bit integers. Furthermore, a parallel version of AA-sort demonstrated better scalability with increasing numbers of cores than a parallel version of GPUTeraSort on both platforms.
INDEX TERMS
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CITATION
Hiroshi Inoue, Takao Moriyama, Hideaki Komatsu, Toshio Nakatani, "AA-Sort: A New Parallel Sorting Algorithm for Multi-Core SIMD Processors", Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques, vol. 00, no. , pp. 189-198, 2007, doi:10.1109/PACT.2007.12
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