Cucheb: A GPU implementation of the filtered Lanczos procedure
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866909323017322496 |
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| author | Aurentz, Jared L. Kalantzis, Vassilis Saad, Yousef |
| author_facet | Aurentz, Jared L. Kalantzis, Vassilis Saad, Yousef |
| contents | This paper describes the software package Cucheb, a GPU implementation of the filtered Lanczos procedure for the solution of large sparse symmetric eigenvalue problems. The filtered Lanczos procedure uses a carefully chosen polynomial spectral transformation to accelerate convergence of the Lanczos method when computing eigenvalues within a desired interval. This method has proven particularly effective for eigenvalue problems that arise in electronic structure calculations and density functional theory. We compare our implementation against an equivalent CPU implementation and show that using the GPU can reduce the computation time by more than a factor of 10. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_15053 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Cucheb: A GPU implementation of the filtered Lanczos procedure Aurentz, Jared L. Kalantzis, Vassilis Saad, Yousef Numerical Analysis Distributed, Parallel, and Cluster Computing This paper describes the software package Cucheb, a GPU implementation of the filtered Lanczos procedure for the solution of large sparse symmetric eigenvalue problems. The filtered Lanczos procedure uses a carefully chosen polynomial spectral transformation to accelerate convergence of the Lanczos method when computing eigenvalues within a desired interval. This method has proven particularly effective for eigenvalue problems that arise in electronic structure calculations and density functional theory. We compare our implementation against an equivalent CPU implementation and show that using the GPU can reduce the computation time by more than a factor of 10. |
| title | Cucheb: A GPU implementation of the filtered Lanczos procedure |
| topic | Numerical Analysis Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2409.15053 |