![]() ![]() I’ve tried to supply representative NVIDIA GPU cards for each architecture name, and CUDA version. Supported SM and Gencode variationsīelow are the supported sm variations and sample cards from that generation. However, sometimes you may wish to have better CUDA backwards compatibility by adding more comprehensive ‘ -gencode‘ flags.īefore you continue, identify which GPU you have and which CUDA version you have installed first. When you want to speed up CUDA compilation, you want to reduce the amount of irrelevant ‘ -gencode‘ flags. If you only mention ‘ -gencode‘, but omit the ‘ -arch‘ flag, the GPU code generation will occur on the JIT compiler by the CUDA driver. This will enable faster runtime, because code generation will occur during compilation. When you compile CUDA code, you should always compile only one ‘ -arch‘ flag that matches your most used GPU cards. ‡ Maxwell is deprecated from CUDA 11.6 onwards When should different ‘gencodes’ or ‘cuda arch’ be used? † Fermi and Kepler are deprecated from CUDA 9 and 11 onwards Here’s a list of NVIDIA architecture names, and which compute capabilities they have: Fermi † Gencodes (‘ -gencode‘) allows for more PTX generations and can be repeated many times for different architectures. When compiling with NVCC, the arch flag (‘ -arch‘) specifies the name of the NVIDIA GPU architecture that the CUDA files will be compiled for. How to upgrade the solution to CUDA 10.I’ve seen some confusion regarding NVIDIA’s nvcc sm flags and what they’re used for: ![]() However, my solution still uses CUDA 9.2. ![]() I've installed CUDA 10.0 that claims to be compatible with VS2017 Update 8 and any later versions. Then I upgraded Visual Studio 2017 to a revision that is not supported by CUDA 9.2, so I'm getting errors like: 1>D:\Dev\Views\Engines\ProbQA\ProbQA\PqaCore>"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.2\bin\nvcc.exe" -gencode=arch=compute_61,code=\"sm_61,compute_61\" -use-local-env -ccbin "C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\3\bin\HostX64\圆4" -x cu -rdc=true -ID:\Dev\Views\Engines\ProbQA\ProbQA\PqaCore\ -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.2\include" -source-in-ptx -G -lineinfo -keep-dir 圆4\Debug -maxrregcount=32 -machine 64 -compile -cudart static -g -D_DEBUG -D_WINDOWS -D_USRDLL -DPQACORE_EXPORTS -D_WINDLL -D_UNICODE -DUNICODE -Xcompiler "/EHsc /W4 /nologo /Od /FS /Zi /RTC1 /MDd /GR" -o 圆4\Debug\CudaEngineGpu.cu.obj "D:\Dev\Views\Engines\ProbQA\ProbQA\PqaCore\CudaEngineGpu.cu"ġ>c:\program files\nvidia gpu computing toolkit\cuda\v9.2\include\crt/host_config.h(133): fatal error C1189: #error: - unsupported Microsoft Visual Studio version! Only the versions 2012, 2013, 20 are supported!ġ>CUDACOMPILE : nvcc warning : '-device-debug (-G)' overrides '-generate-line-info (-lineinfo)'ġ>C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\Common7\IDE\VC\VCTargets\BuildCustomizations\CUDA 9.2.targets(707,9): error MSB3721: The command ""C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.2\bin\nvcc.exe" -gencode=arch=compute_61,code=\"sm_61,compute_61\" -use-local-env -ccbin "C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\3\bin\HostX64\圆4" -x cu -rdc=true -ID:\Dev\Views\Engines\ProbQA\ProbQA\PqaCore\ -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.2\include" -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v9.2\include" -source-in-ptx -G -lineinfo -keep-dir 圆4\Debug -maxrregcount=32 -machine 64 -compile -cudart static -g -D_DEBUG -D_WINDOWS -D_USRDLL -DPQACORE_EXPORTS -D_WINDLL -D_UNICODE -DUNICODE -Xcompiler "/EHsc /W4 /nologo /Od /FS /Zi /RTC1 /MDd /GR" -o 圆4\Debug\CudaEngineGpu.cu.obj "D:\Dev\Views\Engines\ProbQA\ProbQA\PqaCore\CudaEngineGpu.cu"" exited with code 2. Earlier I installed CUDA 9.2 on my machine and built a solution with it. ![]()
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