International Superconputing Conference (ISC'14) HPC in Asia Posters
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和文:
Leipzig
英文:
アブストラクト
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.
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