CB-SpMV is a cache-friendly 2D block-based SpMV algorithm for GPUs that uses data aggregation via virtual pointers, sub-block format selection, and inter-block load balancing to deliver up to 3.95x average speedup over cuSPARSE-BSR, TileSpMV, and DASP on 2843 SuiteSparse matrices.
Greathouse and Mayank Daga
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Exploiting repeated block structures converts SpMV to SpMM in CFD operators while an inline coarse-to-fine mesh strategy reduces time to statistically steady state, producing speed-ups up to over 50 percent on tested cases.
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CB-SpMV:A Data Aggregating and Balance Algorithm for Cache-Friendly Block-Based SpMV on GPUs
CB-SpMV is a cache-friendly 2D block-based SpMV algorithm for GPUs that uses data aggregation via virtual pointers, sub-block format selection, and inter-block load balancing to deliver up to 3.95x average speedup over cuSPARSE-BSR, TileSpMV, and DASP on 2843 SuiteSparse matrices.
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Exploiting repeated matrix block structures for more efficient CFD on modern supercomputers
Exploiting repeated block structures converts SpMV to SpMM in CFD operators while an inline coarse-to-fine mesh strategy reduces time to statistically steady state, producing speed-ups up to over 50 percent on tested cases.