#Cuda c makefile example how to
#Cuda c makefile example software

This is a known limitation of the CUDA module of CMake currently. Note: Include directories cannot be specified for a particular target using target_include_directories. This does not cause any problems, just something you might need to be aware of.Р”Р‡or information about other CMake commands for CUDA see the file /usr/share/cmake-2.8/Modules/FindCUDA.cmake and the files inside /usr/share/cmake-2.8/Modules/FindCUDA/. The behavior of the Makefile generated by CMake is slightly different: it calls the default C++ compiler for. Typically nvcc calls both the host compiler and device compiler by itself on both.

# Specify target & libraries to link it with # Specify target & source files to compile it from

#Cuda c makefile example how to

The CMakeLists.txt shown below is an example of how to configure all these features: # CMakeLists.txt for CUDA Steps to build and run program on Linux: $ mkdir buildР”Р„ny non-trivial CUDA program will need special compilation flags, include directories, library directories and multiple source files.

#Cuda c makefile example software

On Windows, cmake would generate a Visual Studio solution, that can be used to build the code. CUDA (Compute Unified Device Architecture) is a parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing unit (GPU) for general purpose processing an approach called general-purpose computing on GPUs (GPGPU). To build our program on Linux, we first run cmake to generate a Makefile and use that Makefile to build and run.

# Specify binary name and source file to build it from Here is the output of running the above example: make echo 'hello world' hello world. Lets start with the simplest of Makefiles: hello: echo 'hello world'. To build this using CMake, we create a file named CMakeLists.txt containing these lines: # CMakeLists.txt to build hellocuda.cu For each example, put the contents in a file called Makefile, and in that directory run the command make. Let us assume that we want to build a CUDA source file named src/hellocuda.cu. CMake has support for CUDA built in, so it is pretty easy to build CUDA source files using it. СЂСџвЂњвЂ¦ 2013-Sep-13 РІВ¬В© РІСљРЊРїС‘РЏ Ashwin Nanjappa РІВ¬В© СЂСџРЏВ·РїС‘РЏ cmake, cuda, make РІВ¬В© СЂСџвЂњС™ ArchiveР”В¬Make is a popular option for cross-platform compilation of code.