Scalable algorithms for solving linear systems of equations
The goal of the Scalable Linear Solvers project is to develop scalable algorithms and software for solving large, sparse linear systems of equations on parallel computers. The primary software product is Hypre, a library of high performance preconditioners that features parallel multigrid methods for both structured and unstructured grid problems. The problems of interest arise in the simulation codes being developed at LLNL and elsewhere to study physical phenomena in the defense, environmental, energy, and biological sciences.
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Source Files
| Filename | Size | Changed |
|---|---|---|
| _multibuild | 0000000357 357 Bytes | |
| hypre-2.17.0.tar.gz | 0005622286 5.36 MB | |
| hypre.changes | 0000004352 4.25 KB | |
| hypre.spec | 0000011124 10.9 KB | |
| hypre_CMakeLists.patch | 0000001897 1.85 KB | |
| hypre_Makefile_examples.patch | 0000000339 339 Bytes |
Revision 2 (latest revision is 6)
Gustavo Yokoyama Ribeiro (gyribeiro)
committed
(revision 2)
- Documentation is only available online now. Remove the -doc package. - New version 2.17.0 (jsc#SLE-8498) * Changed open source license to dual MIT/Apache-2.0 * Removed FEI_mv/ml subdirectory and several FEI header files * Various bug fixes. * Added new '--enable-mixedint' configure option. * Various GPU optimizations * Changed documentation to use Sphinx and Doxygen. - Update License field to reflect the new dual licensing. - Update source, there is a new GitHub group for hypre. - Refresh patches: * hypre_Makefile_examples.patch * hypre_CMakeLists.patch
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