XHYPRE: a reliable parallel numerical algorithm library for solving large-scale sparse linear equations-Reference-Cited by-同舟云学术

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XHYPRE: a reliable parallel numerical algorithm library for solving large-scale sparse linear equations

Published:2023-04-04 Issue:2 Volume:5 Page:191-209
ISSN:2524-4922
Container-title:CCF Transactions on High Performance Computing
language:en
Short-container-title:CCF Trans. HPC

Author:

Li Chuanying^ORCID,Graillat Stef,Quan Zhe,Gu Tong-Xiang,Jiang Hao,Li Kenli

Funder

NuSCAP project of the French National Agency for Research

the 173 program

Science Challenge Project

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,Hardware and Architecture,Computer Science Applications,Computer Science (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s42514-023-00141-3.pdf

Reference57 articles.

1. Abdelfattah, A., Anzt, H., Boman, E.G., Carson, E., Cojean, T., Dongarra, J., Fox, A., Gates, M., Higham, N.J., Li, X.S., et al.: A survey of numerical linear algebra methods utilizing mixed-precision arithmetic. Int. J. High Perform. Comput. Appl. 35(4), 344–369 (2021). https://doi.org/10.1177/10943420211003313

2. Abdulah, S., Cao, Q., Pei, Y., Bosilca, G., Dongarra, J., Genton, M.G., Keyes, D.E., Ltaief, H., Sun, Y.: Accelerating geostatistical modeling and prediction with mixed-precision computations: a high-productivity approach with parsec. IEEE Trans. Parallel Distrib. Syst. 33(4), 964–976 (2022). https://doi.org/10.1109/TPDS.2021.3084071

3. Baboulin, M., Buttari, A., Dongarra, J., Kurzak, J., Langou, J., Langou, J., Luszczek, P., Tomov, S.: Accelerating scientific computations with mixed precision algorithms. Comput. Phys. Commun. 180(12), 2526–2533 (2009). https://doi.org/10.1016/j.cpc.2008.11.005

4. Bailey, D.H., Barrio, R., Borwein, J.M.: High-precision computation: Mathematical physics and dynamics. Appl. Math. Comput. 218(20), 10106–10121 (2012). https://doi.org/10.1016/j.amc.2012.03.087

5. Baker, A.H., Falgout, R.D., Kolev, T.V., Yang, U.M.: Scaling hypre’s multigrid solvers to 100,000 cores. High-Perform. Sci. Comput. (2012). https://doi.org/10.1007/978-1-4471-2437-5_13

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1. Editorial for the special issue on architecture, algorithms and applications of high performance sparse matrix computations;CCF Transactions on High Performance Computing;2023-06

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