Near-memory data transformation for efficient sparse matrix multi-vector multiplication-Reference-Cited by-同舟云学术

Near-memory data transformation for efficient sparse matrix multi-vector multiplication

Published:2019-11-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
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Author:

Fujiki Daichi¹,Chatterjee Niladrish²,Lee Donghyuk²,O'Connor Mike³

Affiliation:

1. University of Michigan, Ann Arbor

2. NVIDIA

3. University of Texas

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3295500.3356154

Reference39 articles.

1. Fast Sparse Matrix-Vector Multiplication on GPUs for Graph Applications

2. Zhaojun Bai James Demmel Jack Dongarra Axel Ruhe and Henk van der Vorst. 2000. Templates for the solution of algebraic eigenvalue problems: a practical guide. SIAM. Zhaojun Bai James Demmel Jack Dongarra Axel Ruhe and Henk van der Vorst. 2000. Templates for the solution of algebraic eigenvalue problems: a practical guide. SIAM.

3. On Improving Linear Solver Performance: A Block Variant of GMRES

4. Sparse Matrix Format Selection with Multiclass SVM for SpMV on GPU

5. Strategies for spectrum slicing based on restarted Lanczos methods

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