Presentation Details |
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| Name: |
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(10a) Cache-Aware Sparse Matrix Format for GPU |
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| Time: |
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Thursday, June 26, 2014
10:30 am - 11:00 am |
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| Room: |
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Hall 4
CCL - Congress Center Leipzig |
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| Breaks: | 10:30 am - 11:00 am Coffee Break
07:30 am - 10:30 am Welcome Coffee |
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| Presenter: |
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Yusuke Nagasaka, Tokyo Institute of Technology |
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| Abstract: |
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We propose two novel sparse matrix formats, SJDS and NUSJDS, which are designed to improve GPU cache hit rate in SPMV by uniformly dividing matrix into sub-matrices by columns. SJDS achieves up to 10x performance gain compared to other existing formats. NUSJDS enables further speed-up by adaptively adjusting the sizes of sub-matrices.
Authors
Yusuke Nagasaka, Akira Nukada & Satoshi Matsuoka, Tokyo Institute of Technology
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