ALBUS: A method for efficiently processing SpMV using SIMD and Load balancing
Abstract
SpMV (Sparse matrix–vector multiplication) is widely used in many fields. Improving the performance of SpMV has been the pursuit of many researchers. Parallel SpMV using multi-core processors has been a standard parallel method used by researchers. In reality, the number of non-zero elements in many sparse matrices is not evenly distributed, so parallelism without preprocessing will cause a large amount of performance loss due to uneven load. In...
Paper Details
Title
ALBUS: A method for efficiently processing SpMV using SIMD and Load balancing
Published Date
Mar 1, 2021
Volume
116
Pages
371 - 392
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