If lengthy compilation times bother you, you can just pare down the list of architectures for which code is generated. ![]() If you intend to run with a CC 7.0 (Volta) GPU, the compilation options in your example should work just fine for that. Provide a small set of extensions to standard. It enables dramatic increases in computing performance by harnessing the power of the graphics processing unit (GPU). CUDA is a parallel computing platform and programming model invented by NVIDIA. STEP 2: Download the Driver File Download - CUDADriver-5.5.25-macos. The installation instructions for the CUDA Toolkit on MS-Windows systems. You will need to accept this license prior to downloading any files. Check terms and conditions checkbox to allow driver download. This is a best practice: Include SASS for all architectures that the application needs to support, as well as PTX for the latest architecture (CC.7.0 for the CUDA version referenced), which can be JIT compiled when a new (as of yet unknown) GPU architecture rolls around. STEP 1: Review the NVIDIA Software License. So in your example, the compiler is instructed to produce a fat binary containing SASS for CC 5.0, CC 5.2, CC 6.0, CC6.1, and CC 7.0, as well as PTX for CC 7.0. compute_XX pertains to virtual architectures represented by the intermediate PTX format. Sm_XX pertains to machine code (SASS, in CUDA parlance) for a particular GPU hardware architecture. When you read the section on code generation (“Building for Maximum Compability”) in the Best Practices Guide, what exactly was unclear? You may want to consult the nvcc manual in addition to the Best practices Guide. Would be really helpful if someone can can give simple set of guidelines for each of the use-cases :)… I know there are some technical details on cubin version and PTX version, but I could not make anything of it.
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