Performance Analysis and Optimization of Sparse Matrix-Vector Multiplication on Modern Multi- and Many-Core Processors
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8023017/8025263/08025303.pdf?arnumber=8025303
Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. CAMLB-SpMV: An Efficient Cache-Aware Memory Load-Balancing SpMV on CPU;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12
2. DASP: Specific Dense Matrix Multiply-Accumulate Units Accelerated General Sparse Matrix-Vector Multiplication;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11
3. IAP-SpTV: An input-aware adaptive pipeline SpTV via GCN on CPU-GPU;Journal of Parallel and Distributed Computing;2023-11
4. HASpMV: Heterogeneity-Aware Sparse Matrix-Vector Multiplication on Modern Asymmetric Multicore Processors;2023 IEEE International Conference on Cluster Computing (CLUSTER);2023-10-31
5. A Survey of Accelerating Parallel Sparse Linear Algebra;ACM Computing Surveys;2023-08-28
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