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The following code shows how to request C++ 11 support for the particles. To make target_compile_features easier to use with CUDA, CMake uses the same set of C++ feature keywords for CUDA C++.If those options are not set by the user, CMake will use the system default compilers. The CMAKE_C_COMPILER, CMAKE_CXX_COMPILER, and CMAKE_Fortran_COMPILER options are used to tell CMake which compiler to use for the compilation of C, C++, and Fortran sources respectively.CMake 3.8 makes CUDA C++ an intrinsically supported language. Since 2009, CMake (starting with 2.8.0) has provided the ability to compile CUDA code through custom commands such as cuda_add_executable, and cuda_add_library provided by the FindCUDA package.make -j4 If run for the first time, this will also download several submodule repositories. The project is a standard CMake out-of-source build, which on Linux can be compiled by executing the following commands: mkdir marian/build cd marian/build cmake.Details: When CMAKE_CUDA_COMPILER_ID is NVIDIA, CMAKE_CUDA_HOST_COMPILER selects the compiler executable to use when compiling host code for CUDA language files.When CMAKE_CUDA_COMPILER_ID is NVIDIA, CMAKE_CUDA_HOST_COMPILER selects the The CMAKE_CUDA_HOST_COMPILER variable may be set explicitly before CUDA is first enabled.Issue #15492, The CUDA compiler identification is unknown.set(CMAKE_CUDA_STANDARD_REQUIRED ON CACHE BOOL "Require the CUDA language foo-compile-options) to ensure other CMake projects linking against foo will inherit the compile.