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NVIDIA offers kinda-static versions of CUDA libraries, especially the CUDA Runtime library and NVRTC. However - our wrappers opt for linking against the dynamic/shared versions of these libraries. We should allow both a configuration in which the wrappers depend on shared libraries, and one where they depend on the static ones.
The text was updated successfully, but these errors were encountered:
* Now exporting `_static` versions of our targets - which indicate the eventual executable should link ingainst the `_static` versions of `CUDA::` targets.
* Added an configuration option for building the example programs statically
* Now exporting `_static` versions of our targets - which indicate the eventual executable should link ingainst the `_static` versions of `CUDA::` targets.
* Added an configuration option for building the example programs statically
* Now exporting `_static` versions of our targets - which indicate the eventual executable should link ingainst the `_static` versions of `CUDA::` targets.
* Added an configuration option for building the example programs statically
* Now exporting `_static` versions of our targets - which indicate the eventual executable should link ingainst the `_static` versions of `CUDA::` targets.
* Added an configuration option for building the example programs statically
NVIDIA offers kinda-static versions of CUDA libraries, especially the CUDA Runtime library and NVRTC. However - our wrappers opt for linking against the dynamic/shared versions of these libraries. We should allow both a configuration in which the wrappers depend on shared libraries, and one where they depend on the static ones.
The text was updated successfully, but these errors were encountered: