A New Sparse GEneral Matrix-matrix Multiplication Method for Long Vector Architecture by Hierarchical Row Merging-Reference-Cited by-同舟云学术

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A New Sparse GEneral Matrix-matrix Multiplication Method for Long Vector Architecture by Hierarchical Row Merging

Published:2023-11-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
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Author:

Takayashiki Hikaru¹^ORCID,Yagi Hotaka¹^ORCID,Nishimoto Hiroki¹^ORCID,Yoshifuji Naoki¹^ORCID

Affiliation:

1. Fixstars Corporation, Japan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3624062.3625131

Reference15 articles.

1. 2021. Frovedis: FRamework Of VEctorized and DIStributed data analytics. https://github.com/frovedis/frovedis 2021. Frovedis: FRamework Of VEctorized and DIStributed data analytics. https://github.com/frovedis/frovedis

2. Exposing Fine-Grained Parallelism in Algebraic Multigrid Methods

3. The university of Florida sparse matrix collection

4. Julien Demouth . 2012 . Sparse Matrix-Matrix Multiplication on the GPU . In Proceedings of the GPU Technology Conference. Julien Demouth. 2012. Sparse Matrix-Matrix Multiplication on the GPU. In Proceedings of the GPU Technology Conference.

5. A Systematic Survey of General Sparse Matrix-matrix Multiplication

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