![]() Important: The devices are configured in exclusive mode. The environment variable OSC_CUDA_ARCH defined in the module can be used to specify the CUDA_ARCH, to compile with nvcc -o mycudaApp -arch=$OSC_CUDA_ARCH mycudaApp.cu. This will create an executable by name mycudaApp. To compile a cuda code contained in a file, let say mycudaApp.cu, the following could be done after loading the appropriate CUDA module: nvcc -o mycudaApp mycudaApp.cu. One can type module show cuda-version-number to view the list of environment variables. Then you need to load an older GNU compiler with the module load gnu/version command (if compiling standard C code with GNU compilers) or the module load gcc-compatibility/version command (if compiling standard C code with Intel or PGI compilers). #error - unsupported GNU version! gcc versions later than X are not supported! In particular, if you are trying to compile CUDA codes and encounter a compiler error such as However, CUDA codes are compiled with nvcc, which depends on the GNU compilers. Many of the tools loaded with the CUDA module can be used regardless of the compiler modules loaded. The link also contains tutorials on optimizing CUDA codes to obtain greater speedups. Please visit the following link to learn programming in CUDA. The NVIDIA GPU Computing SDK provides hundreds of code samples and covers a wide range of applications/techniques to help you get started on the path of writing software with CUDA C/C++ or DirectCompute. To load the default version of CUDA module, use module load cuda. To select a particular software version, use module load cuda/version.
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