cb0c70b163
This PR reimplements hypre_ParCSRMaxEigEstimate using Gershgorin discs, which ensures that max_eig and min_eig are both allreduced across all ranks so that the return value of the function is the same for all ranks. Co-authored-by: Ruipeng Li <li50@llnl.gov> Co-authored-by: li50@llnl.gov <liruipengblue@gmail.com> |
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| src | ||
| .gitignore | ||
| .readthedocs.yml | ||
| CHANGELOG | ||
| COPYRIGHT | ||
| INSTALL.md | ||
| LICENSE-APACHE | ||
| LICENSE-MIT | ||
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| 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