Exploiting Locality in Sparse Matrix-Matrix Multiplication on Many-Core Architectures

Author:

Akbudak Kadir,Aykanat Cevdet

Funder

Scientific and Technological Research Council of Turkey (TUBITAK)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Cited by 28 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. Hypergraph-based locality-enhancing methods for graph operations in Big Data applications;The International Journal of High Performance Computing Applications;2023-11-20

2. SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

3. A Survey of Accelerating Parallel Sparse Linear Algebra;ACM Computing Surveys;2023-08-28

4. HASpGEMM: Heterogeneity-Aware Sparse General Matrix-Matrix Multiplication on Modern Asymmetric Multicore Processors;Proceedings of the 52nd International Conference on Parallel Processing;2023-08-07

5. Efficient Execution of SpGEMM on Long Vector Architectures;Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing;2023-08-07

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