HASpGEMM: Heterogeneity-Aware Sparse General Matrix-Matrix Multiplication on Modern Asymmetric Multicore Processors

Author:

Cheng Helin1ORCID,Li Wenxuan1ORCID,Lu Yuechen1ORCID,Liu Weifeng1ORCID

Affiliation:

1. China University of Petroleum-Beijing, China

Publisher

ACM

Reference72 articles.

1. Kadir Akbudak and Cevdet Aykanat . Exploiting Locality in Sparse Matrix-Matrix Multiplication on Many-Core Architectures. TPDS 28 , 8 ( 2017 ). Kadir Akbudak and Cevdet Aykanat. Exploiting Locality in Sparse Matrix-Matrix Multiplication on Many-Core Architectures. TPDS 28, 8 (2017).

2. Kadir Akbudak , Oguz Selvitopi , and Cevdet Aykanat . Partitioning Models for Scaling Parallel Sparse Matrix-Matrix Multiplication. TOPC 4 , 3 ( 2018 ). Kadir Akbudak, Oguz Selvitopi, and Cevdet Aykanat. Partitioning Models for Scaling Parallel Sparse Matrix-Matrix Multiplication. TOPC 4, 3 (2018).

3. Pham Nguyen Quang Anh Rui Fan and Yonggang Wen. Balanced Hashing and Efficient GPU Sparse General Matrix-Matrix Multiplication. In ICS ’16. Pham Nguyen Quang Anh Rui Fan and Yonggang Wen. Balanced Hashing and Efficient GPU Sparse General Matrix-Matrix Multiplication. In ICS ’16.

4. Ariful Azad , Grey Ballard , Aydın Buluç , James Demmel , Laura Grigori , Oded Schwartz , Sivan Toledo , and Samuel Williams . Exploiting Multiple Levels of Parallelism in Sparse Matrix-Matrix Multiplication. SISC 38 , 6 ( 2016 ). Ariful Azad, Grey Ballard, Aydın Buluç, James Demmel, Laura Grigori, Oded Schwartz, Sivan Toledo, and Samuel Williams. Exploiting Multiple Levels of Parallelism in Sparse Matrix-Matrix Multiplication. SISC 38, 6 (2016).

5. Ariful Azad , Georgios  A. Pavlopoulos , Christos  A. Ouzounis , Nikos  C. Kyrpides , and Aydın Buluç . HipMCL: A High-Performance Parallel Implementation of the Markov Clustering Algorithm for Large-Scale Networks. NAR 46 , 6 ( 2018 ). Ariful Azad, Georgios A. Pavlopoulos, Christos A. Ouzounis, Nikos C. Kyrpides, and Aydın Buluç. HipMCL: A High-Performance Parallel Implementation of the Markov Clustering Algorithm for Large-Scale Networks. NAR 46, 6 (2018).

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1. HASpMV: Heterogeneity-Aware Sparse Matrix-Vector Multiplication on Modern Asymmetric Multicore Processors;2023 IEEE International Conference on Cluster Computing (CLUSTER);2023-10-31

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