TEB: Efficient SpMV Storage Format for Matrix Decomposition and Reconstruction on GPU

TEB: Efficient SpMV Storage Format for Matrix Decomposition and Reconstruction on GPU

Sparse matrix-vector multiplication (SpMV) is a crucial computing process in the field of science and engineering. CSR (compressed sparse row) format is one of the most commonly used storage formats for sparse matrix. In the process of implementing parallel SpMV on the graphics processing unit (GPU)...

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Bibliographic Details
Main Author: WANG Yuhua, ZHANG Yuqi, HE Junfei, XU Yuezhu, CUI Huanyu
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2024-04-01
Series:Jisuanji kexue yu tansuo
Subjects:
sparse matrix-vector multiplication (spmv); reorder; compressed sparse row (csr) format; load balancing; storage format; graphics processing unit (gpu)
Online Access:http://fcst.ceaj.org/fileup/1673-9418/PDF/2304039.pdf

Internet

http://fcst.ceaj.org/fileup/1673-9418/PDF/2304039.pdf

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