- Sep 03, 2018
-
-
Jakub Klinkovský authored
This is getting really cumbersome and error-prone, somebody should figure out how to do this more generally for all possible combinations of CV-qualifications...
-
Jakub Klinkovský authored
The link provided in the comment is not related - tnl-cuda-arch is not built as a static binary. Anyway, I don't see any problem with this. Either fix it properly or at least file a full bug report on Gitlab. Upgrading cmake on your system might also help...
-
Jakub Klinkovský authored
-
Jakub Klinkovský authored
-
Jakub Klinkovský authored
-
Jakub Klinkovský authored
-
Jakub Klinkovský authored
-
Jakub Klinkovský authored
-
Jakub Klinkovský authored
-
- Sep 02, 2018
-
-
Jakub Klinkovský authored
-
Jakub Klinkovský authored
-
Jakub Klinkovský authored
-
Tomáš Oberhuber authored
-
Tomáš Oberhuber authored
-
Tomáš Oberhuber authored
-
Tomáš Oberhuber authored
-
Tomáš Oberhuber authored
-
Tomáš Oberhuber authored
-
- Sep 01, 2018
-
-
Tomáš Oberhuber authored
-
Tomáš Oberhuber authored
-
Tomáš Oberhuber authored
-
Tomáš Oberhuber authored
-
Tomáš Oberhuber authored
-
Tomáš Oberhuber authored
-
Tomáš Oberhuber authored
-
- Aug 31, 2018
-
-
Tomáš Oberhuber authored
-
Tomáš Oberhuber authored
-
Tomáš Oberhuber authored
-
Tomáš Oberhuber authored
-
Tomáš Oberhuber authored
-
Tomáš Oberhuber authored
-
- Aug 29, 2018
-
-
Tomáš Oberhuber authored
-
- Aug 28, 2018
-
-
Tomáš Oberhuber authored
-
- Aug 27, 2018
-
-
Tomáš Oberhuber authored
-
- Aug 21, 2018
-
-
Jakub Klinkovský authored
* cmake: Added --offline-build option to skip update of external Cmake projects Disabled linking to the VTK library and enabled all mesh tests for CUDA even for nvcc Removed check for HAVE_CUSPARSE Declared all custom build options in CMakeLists.txt
-
Jakub Klinkovský authored
* common-data: Re-enabled Python build in CMakeLists.txt Refactoring done - MeshDependentData was removed. Removing mesh dependent data.
-
Jakub Klinkovský authored
-
Jakub Klinkovský authored
-
Jakub Klinkovský authored
It is not needed, since CUSPARSE is included in all versions of CUDA since at least 7.0. Also note that CUSPARSE is needed only for some tests and legacy code (tnl-benchmark-spmv and wrappers in Matrices::CSR) and experimental code (Preconditioners::ILU0). Everything is still guarded by the HAVE_CUSPARSE macro, so the user can pass -DHAVE_CUSPARSE -lcusparse to the compiler to enable the features.
-
Jakub Klinkovský authored
This way they can use either yes/no, on/off, or true/false.
-