| |
| namespace Eigen { |
| |
| /** \page TopicCUDA Using Eigen in CUDA kernels |
| |
| \b Disclaimer: this page is about an \b experimental feature in %Eigen. |
| |
| Staring from CUDA 5.0, the CUDA compiler, \c nvcc, is able to properly parse %Eigen's code (almost). |
| A few adaptations of the %Eigen's code already allows to use some parts of %Eigen in your own CUDA kernels. |
| To this end you need the devel branch of %Eigen, CUDA 5.0 or greater with GCC. |
| |
| Known issues: |
| |
| - \c nvcc with MS Visual Studio does not work (patch welcome) |
| |
| - \c nvcc with \c clang does not work (patch welcome) |
| |
| - \c nvcc 5.5 with gcc-4.7 (or greater) has issues with the standard \c \<limits\> header file. To workaround this, you can add the following before including any other files: |
| \code |
| // workaround issue between gcc >= 4.7 and cuda 5.5 |
| #if (defined __GNUC__) && (__GNUC__>4 || __GNUC_MINOR__>=7) |
| #undef _GLIBCXX_ATOMIC_BUILTINS |
| #undef _GLIBCXX_USE_INT128 |
| #endif |
| \endcode |
| |
| - On 64bits system Eigen uses \c long \c int as the default type for indexes and sizes. On CUDA device, it would make sense to default to 32 bits \c int. |
| However, to keep host and CUDA code compatible, this cannot be done automatically by %Eigen, and the user is thus required to define \c EIGEN_DEFAULT_DENSE_INDEX_TYPE to \c int throughout his code (or only for CUDA code if there is no interaction between host and CUDA code through %Eigen's object). |
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| */ |
| |
| } |
