From: Bruno Turcksin
+ To compile and run CUDA code, you need a CUDA-enabled GPU, appropriate
+ drivers, the CUDA toolkit, and the nvcc compiler. Unlike other libraries,
+ you need special hardware and compiler to enable CUDA. Because the
+ hardware is always evolving, older GPUs do not support all the
+ capabilities of newer ones. In order to use CUDA with deal.II, you will
+ need your GPU to have compute capability 3.5 or higher. Independently
+ from the GPU itself, you also need a version of CUDA recent enough.
+ deal.II supports CUDA 8.0 and higher. Finally to be able to configure
+ deal.II, you will need CMake 3.9 or higher.
+
+ To configure deal.II with CUDA use the following option:
+ Installing deal.II with CUDA
+
+
+
+ -DDEAL_II_WITH_CUDA=ON
+
+ Depending on you system, this may be enough to get CUDA to work. If you
+ are using CUDA 8 with gcc 5.4, you will need to turn off support for
+ C++14:
+
+
+ -DDEAL_II_WITH_CXX14=OFF
+
+ By default, we assume that your GPU has compute capability 3.5 but you
+ can easily set your own CUDA flags:
+
+
+ -DDEAL_II_CUDA_FLAGS="-arch=sm_60"
+
+ -DDEAL_II_CUDA_FLAGS_DEBUG
and
+ -DDEAL_II_CUDA_FLAGS_RELEASE
are also available if you want
+ a finer control on the CUDA flags. Finally, the CUDA compiler and the
+ CUDA toolkit root directory can be set using
+ -DDEAL_II_CUDA_COMPILER
and
+ -DDEAL_II_CUDA_TOOLKIT_ROOT_DIR
.
+
+ CUDA is a parallel + computing platform and API model created by Nvidia. It allows software + developers and software engineers to use CUDA-enabled GPU for general + purpose processing. + + Details about compatibility and configuration can be found here. +
+