Matrix Multiplication with Diagonals: Structured Sparse Matrices and Beyond-Reference-Cited by-同舟云学术

Matrix Multiplication with Diagonals: Structured Sparse Matrices and Beyond

Published:2023-06-17 Issue: Volume: Page:
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Container-title:Proceedings of the 2023 7th International Conference on High Performance Compilation, Computing and Communications
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Author:

Haque Sardar Anisul¹^ORCID,Choudhury Nazim²^ORCID,Hossain Shahadat³^ORCID

Affiliation:

1. Engineering, Otterbein University, USA

2. Computer Science, University of Wisconsin, Green Bay, USA

3. Mathematics and Computer Science, University of Lethbridge, Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3606043.3606053

Reference13 articles.

1. Efficient Calculation of Triangle Centrality in Big Data Networks

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3. Efficient Symmetric Band Matrix-Matrix Multiplication on GPUs

4. John Eagan , Marc Herdman , Christian Vaughn , Nathaniel Bean , Sarah Kern , and Matin Pirouz . 2023 . An Efficient Parallel Divide-and-Conquer Algorithm for Generalized Matrix Multiplication. In 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC). IEEE, 0442–0449 . John Eagan, Marc Herdman, Christian Vaughn, Nathaniel Bean, Sarah Kern, and Matin Pirouz. 2023. An Efficient Parallel Divide-and-Conquer Algorithm for Generalized Matrix Multiplication. In 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC). IEEE, 0442–0449.

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

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