This allows users to direct hypre's error messages to a memory buffer instead of stderr. With this, there are now three basic ways to use hypre when configured --with-print-errors:
- Default (mode 0): Errors are printed immediately to stderr (there is no processor information available in this print).
- Store errors in memory (mode 1) and call PrintErrorMessages to print them.
- Store errors in memory (mode 1) and call GetErrorMessages to manage the error messages however you like.
This PR adds "runtime switch" feature to the solvers in hypre.
Co-authored-by: Victor A. P. Magri <paludettomag1@llnl.gov>
Co-authored-by: Wayne Mitchell <mitchell82@llnl.gov>
This PR adds GPU support for ams, ame and ads, and the following parcsr operations on GPUs, ParCSRAdd, ParCSRTranspose, l1 hybrid G-S/SSOR.
Co-authored-by: Rob Falgout <rfalgout@llnl.gov>
This PR changes AMG defaults regarding GPUs at various places, adds regression tests on GPUs, simplifies CUDA boxloop implementations.
Co-authored-by: Sarah Virginia Osborn <osborn9@llnl.gov>
Co-authored-by: PaulMullowney <pmullown@nrel.gov>
Co-authored-by: Daniel Osei-Kuffuor <oseikuffuor1@llnl.gov>
Co-authored-by: Ruipeng Li <li50@euler.llnl.gov>
Co-authored-by: Ruipeng Li <coe0141@redwood.cm.cluster>
Add CUDA options to CMake.
* Add CUDA options to CMake, including adding CUDA_SRCS to each sub-directory's CMake list
* Changes so that HYPRE_config.h from CMake is consistent with configure
* Fix to license commenting style
* Add CUDA + CMake tests for building on lassen
This pull request adds a -save <ext> feature to the runtest.sh script to allow testing against different saved files on different platforms such as GPU machines. See Issue #255. A few additional things were done:
- All of the checks against the saved files were moved out of the individual tests and into runtest.sh.
- The output-file sanity checks that are in many of the tests were modified so they no longer depend on the saved files. Several issues were also uncovered and fixed.
* This commit has CUDA based smoothers for AMG based on the triangular parts of sparse matrices. This includes an Gauss-Seidel (relax_type==3), which uses CUSPARSE triangular solvers to invert L. Symmetric Gauss Seidel is implemented in relax_type==6 also via CUSPARSE. Finally, 2 new smoothers are added. THe first is a 2 stage approximation to Gauss Seidel using a parallel MatVec and L (relax_type==11). The second (relax_type==12) is a less effective version of 11. It uses A_diag instead of L for the smoothing. CPU implementations of these new smoothers are also provided. For the two stage algorithms, L and U are NOT explicitly created. This seems faster and saves memory. In the two stage preconditioner, multiply by invdiag rather than divide by diagonal reduces register pressure and yields full occupancy.
Co-authored-by: Paul Mullowney <pmullown@nrel.gov>
Co-authored-by: PaulMullowney <60452402+PaulMullowney@users.noreply.github.com>
