Historically, the GPU device code is compiled alongside the application with offline tools such as . In this case, the GPU device code is managed internally to the CUDA runtime. You can then launch kernels using and the CUDA runtime ensures that the invoked kernel is launched. However, in some cases, GPU device code needs to be dynamically compiled and loaded. This post shows a way to…
]]>NVIDIA has already made available a GPU driver binary symbols server for Windows. Now, NVIDIA is making available a repository of CUDA Toolkit symbols for Linux. NVIDIA is introducing CUDA Toolkit symbols for Linux for an application development enhancement. During application development, you can now download obfuscated symbols for NVIDIA libraries that are being debugged or profiled in…
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