SaSpGEMM: Sorting-Avoiding Sparse General Matrix-Matrix Multiplication on Multi-Core Processors
Author:
Affiliation:
1. Laboratory of Digitizing Software for Frontier Equipment, National University of Defense Technology, China and National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, China
Funder
the National Key Research and Development Program of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3673038.3673054
Reference38 articles.
1. SIAM Journal on Matrix Analysis and Applications,SIAM Journal on Matrix Analysis and Applications (Nov;Azad Ariful,2016
2. Exposing Fine-Grained Parallelism in Algebraic Multigrid Methods
3. A GPU Implementation of the Sparse Deep Neural Network Graph Challenge
4. HASpGEMM: Heterogeneity-Aware Sparse General Matrix-Matrix Multiplication on Modern Asymmetric Multicore Processors
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