Distributed Parallel Tall-Skinny QR Factorization: Performance Evaluation of Various Algorithms on Various Systems-Reference-Cited by-同舟云学术

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Distributed Parallel Tall-Skinny QR Factorization: Performance Evaluation of Various Algorithms on Various Systems

Published:2023 Issue: Volume: Page:275-287
ISSN:0302-9743
Container-title:Parallel and Distributed Computing, Applications and Technologies
language:
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Author:

Fukaya Takeshi

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-29927-8_22

Reference18 articles.

1. Ballard, G., Demmel, J., Holtz, O., Schwartz, O.: Minimizing communication in numerical linear algebra. SIAM J. Matrix Anal. Appl. 32(3), 866–901 (2011)

2. Carson, E., Lund, K., Rozložník, M., Thomas, S.: Block Gram-Schmidt algorithms and their stability properties. Linear Algebra Appl. 638, 150–195 (2022)

3. Demmel, J., Grigori, L., Hoemmen, M., Langou, J.: Communication-optimal parallel and sequential QR and LU factorizations. SIAM J. Sci. Comput. 34(1), A206–A239 (2012)

4. Demmel, J.W.: Applied numerical linear algebra. SIAM (1997)

5. Fukaya, T.: An investigation into the impact of the structured QR kernel on the overall performance of the TSQR algorithm. In: Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2019), pp. 81–90 (2019)

Cited by 1 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. A Cholesky QR type algorithm for computing tall-skinny QR factorization with column pivoting;2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2024-05-27

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