Abstract
The AMG2023 benchmark solves two diffusion problems with a linear solver preconditioned with algebraic multigrid. The code only contains a driver, a Makefile, and a documentation file. It requires an installation of the open source software library hypre that needs to be downloaded elsewhere and is not included here. Its purpose is to benchmark linear solver performance on high performance computers.
- Developers:
-
Li, Ruipeng [1] ; Yang, Ulrike [1]
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Release Date:
- 2023-03-20
- Project Type:
- Open Source, Publicly Available Repository
- Software Type:
- Scientific
- Version:
- 1.0.0
- Licenses:
-
MIT License
- Sponsoring Org.:
-
USDOE National Nuclear Security Administration (NNSA)Primary Award/Contract Number:AC52-07NA27344
- Code ID:
- 104291
- Site Accession Number:
- LLNL-CODE-846758
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Country of Origin:
- United States
Citation Formats
Li, Ruipeng, and Yang, Ulrike M.
AMG2023.
Computer Software.
https://github.com/LLNL/AMG2023.
USDOE National Nuclear Security Administration (NNSA).
20 Mar. 2023.
Web.
doi:10.11578/dc.20230413.1.
Li, Ruipeng, & Yang, Ulrike M.
(2023, March 20).
AMG2023.
[Computer software].
https://github.com/LLNL/AMG2023.
https://doi.org/10.11578/dc.20230413.1.
Li, Ruipeng, and Yang, Ulrike M.
"AMG2023." Computer software.
March 20, 2023.
https://github.com/LLNL/AMG2023.
https://doi.org/10.11578/dc.20230413.1.
@misc{
doecode_104291,
title = {AMG2023},
author = {Li, Ruipeng and Yang, Ulrike M.},
abstractNote = {The AMG2023 benchmark solves two diffusion problems with a linear solver preconditioned with algebraic multigrid. The code only contains a driver, a Makefile, and a documentation file. It requires an installation of the open source software library hypre that needs to be downloaded elsewhere and is not included here. Its purpose is to benchmark linear solver performance on high performance computers.},
doi = {10.11578/dc.20230413.1},
url = {https://doi.org/10.11578/dc.20230413.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20230413.1}},
year = {2023},
month = {mar}
}