Comparison of Reproducible Parallel Preconditioned BiCGSTAB Algorithm Based on ExBLAS and ReproBLAS-Reference-Cited by-同舟云学术

Comparison of Reproducible Parallel Preconditioned BiCGSTAB Algorithm Based on ExBLAS and ReproBLAS

Published:2023-02-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region
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Author:

Lei Xiaojun¹^ORCID,Gu Tongxiang²^ORCID,Graillat Stef³^ORCID,Xu Xiaowen⁴^ORCID,Meng Jing⁵^ORCID

Affiliation:

1. Graduate School of Chinese Academy of Engineering Physics, China

2. Institute of Applied Physics and Computational Mathematics, China

3. Sorbonne University, France

4. CAEP Software Center for Numerical Simulation, China

5. School of Mathematics and Statistics, Taishan University, China

Funder

Science Challenge Project, China (TZ2016002), NSF of China (61472462, 11671049, 11601033, 62032023) and the foundation of key laboratory of computational physics, China. InterFLOP (ANR-20- CE46-0009) project of the French National Agency for Research (ANR). National Natural Science Foundation of China (No. 62032023). Natural Science Foundation of Shandong Province (no.ZR2021MA092).

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3578178.3578234

Reference32 articles.

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3. Efficiency of Reproducible Level 1 BLAS

4. Chemseddine Chohra , Philippe Langlois , and David Parello . 2016 . Reproducible, accurately rounded and efficient BLAS . In European Conference on Parallel Processing. Springer, 609–620 . Chemseddine Chohra, Philippe Langlois, and David Parello. 2016. Reproducible, accurately rounded and efficient BLAS. In European Conference on Parallel Processing. Springer, 609–620.

5. Numerical reproducibility for the parallel reduction on multi- and many-core architectures

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