ALBUS: A method for efficiently processing SpMV using SIMD and Load balancing

Volume: 116, Pages: 371 - 392
Published: Mar 1, 2021
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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