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https://stackoverflow.com/questions/6622454/cuda-incompatible-with-my-gcc-version
CUDA incompatible with my gcc version. Ask Question Asked 8 years, ... nvcc depends on gcc 4.4. It is possible to configure nvcc to use the correct version of gcc without passing any compiler parameters by adding softlinks to the bin directory created with the nvcc install. ... (as of CUDA 10.1) no gcc 9 support in CUDA. Note that NVIDIA has ...
https://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/index.html
The compilation trajectory involves several splitting, compilation, preprocessing, and merging steps for each CUDA source file. It is the purpose of nvcc, the CUDA compiler driver, to hide the intricate details of CUDA compilation from developers. It accepts a range of conventional compiler options, such as for defining macros and include ...
https://devtalk.nvidia.com/default/topic/780902/nvcc-with-avx-support-cannot-find-gcc-builtin-intrinsics/
Oct 12, 2014 · nvcc with avx support cannot find gcc builtin intrinsics. ... are built into gcc and nvcc does not know about them. Since they are declared in immintrin.h nvcc returns errors while compiling .cu file with immintrin.h included. So we cannot mix cuda features with builtin gcc functions in one file.
https://support.nvcc.edu/Main/Default.aspx
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https://stackoverflow.com/questions/42533455/compiling-with-nvcc-and-g
I'm using Nvidia's nvcc compiler to compile a .cpp file which will contain device code (but only contains host code now). The program I am using is written in C and C++ and uses gcc/g++ to compile with and g++ is used to link the final executable together.
https://support.vccs.edu/
VCCS Student Support. Which College are you affiliated with? Blue Ridge Central Virginia Dabney S. Lancaster Danville Eastern Shore Germanna J. Sargeant Reynolds John Tyler Lord Fairfax Mountain Empire New River Northern Virginia: Patrick Henry Paul D. Camp
https://stackoverflow.com/questions/34996295/trying-to-get-cuda-7-5-to-work-with-gcc-5-x
I think a -D_MWAITXINTRIN_H_INCLUDED option should fix the issue. Actually I employed a slightly different approach, commenting out the #include <mwaitxintrin.h> line in x86intrin.h, and successfully built TensorFlow with CUDA 7.5 and GCC 5.2.1.. UPDATE. For the latest version of TensorFlow (v0.8.0), simply choose to use gcc 4.x when invoking the configure script.
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