SpV8: Pursuing Optimal Vectorization and Regular Computation Pattern in SpMV

Sparse Matrix-Vector Multiplication (SpMV) plays an important role in many scientific and industry applications, and remains a well-known challenge due to the high sparsity and irregularity. Most existing researches on SpMV try to pursue high vectorization efficiency. However, such approaches may su...

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Vydané v:	2021 58th ACM/IEEE Design Automation Conference (DAC) s. 661 - 666
Hlavní autori:	Li, Chenyang, Xia, Tian, Zhao, Wenzhe, Zheng, Nanning, Ren, Pengju
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 05.12.2021
Predmet:	Complexity theory Design automation Industry applications Kernel Optimization methods SIMD Sparse matrices Speculation SpMV Vectorization
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