GPU-Accelerated Iterative Refinement Based on Induced Dimension Reduction
The resolution of large scale linear systems is still a significant challenge in scientific computing.In this paper we consider the induced dimension reduction method and iterative refinement scheme for solving nonsymmetric linear systems.We formulate an IR outer scheme based on the IDR inner solver and perform a numerical study of its finite precision behavior.The algorithm is implemented on a graphics processing unit using the CUDA programming tool.
Authors
- Frédéric Magoulès (ORCID: https://orcid.org/0000-0002-1198-7539)
- Yao‐Lin Jiang (ORCID: https://orcid.org/0000-0002-5541-1136)
- Qinmeng Zou (ORCID: https://orcid.org/0000-0001-7752-8100)
- Xiaodong Wang (ORCID: https://orcid.org/0000-0002-4533-6734)
Institutions
- Beijing University of Posts and Telecommunications (CN)
- Université Paris-Saclay (FR)
- CentraleSupélec (FR)
Publication Details
- Journal
- Civil-comp conferences
- Published
- 2024-08-26
- DOI
- https://doi.org/10.4203/ccc.8.5.4
- Primary Topic
- Medical Image Segmentation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China