5f8472b05c
This removes the masked matvec routine previously used for CF L1 Jacobi relaxation in the AMG-DD solver. There was a bug present in the GPU code and the bsrxmv cusparse routine no longer supports our use-case as of cuda 11. In addition, appropriate regression test results were saved for the GPU implementation of AMG-DD. |
||
|---|---|---|
| AUTOTEST | ||
| src | ||
| .gitignore | ||
| .readthedocs.yml | ||
| CHANGELOG | ||
| COPYRIGHT | ||
| INSTALL.md | ||
| LICENSE-APACHE | ||
| LICENSE-MIT | ||
| NOTICE | ||
| README.md | ||
| SUPPORT.md | ||
HYPRE is a library of high performance preconditioners and solvers featuring multigrid methods for the solution of large, sparse linear systems of equations on massively parallel computers.
For documentation, see our readthedocs page.
To install HYPRE, please see either the documentation or the file INSTALL.md.
An overview of the HYPRE release history can be found in the file CHANGELOG.
We appreciate feedback from users. Please submit comments, suggestions, and report issues on our issues page. See also SUPPORT.md.
License
HYPRE is distributed under the terms of both the MIT license and the Apache License (Version 2.0). Users may choose either license, at their option.
All new contributions must be made under both the MIT and Apache-2.0 licenses.
See LICENSE-MIT, LICENSE-APACHE, COPYRIGHT, and NOTICE for details.
SPDX-License-Identifier: (Apache-2.0 OR MIT)
LLNL-CODE-778117