nvcc

I'm building 64-bit apps with Visual C++ Express 2010 extended with Windows SDK 7.1 (to add 64 bit compiler). When I use nvcc in 32-bits mode it works well. When I use it in 64-bits mode I get this error: nvcc fatal : Visual Studio configuration file '(null)' could not be found for installation at 'C:\Program Files (x86)\Microsoft Visual Studio 10.0\VC\bin\x86_amd64/../../..' What can I do to supply the correct files to nvcc? Ok, I've found solution. Nvcc is looking for vcvars64.bat file to be in Program Files\Microsoft Visual Studio 10.0\VC\bin\amd64 , but it exists only in professional

I've a program that uses three kernels. In order to get the speedups, I was doing a dummy memory copy to create a context as follows: __global__ void warmStart(int* f) { *f = 0; } which is launched before the kernels I want to time as follows: int *dFlag = NULL; cudaMalloc( (void**)&dFlag, sizeof(int) ); warmStart<<<1, 1>>>(dFlag); Check_CUDA_Error("warmStart kernel"); I also read about other simplest ways to create a context as cudaFree(0) or cudaDevicesynchronize() . But using these API calls gives worse times than using the dummy kernel. The execution times of the program, after forcing the

Some projects use #pragma nv_exec_check_disable and/or #pragma hd_warning_disable to silence NVCC warnings about warning: calling a __host__ function from a __host__ __device__ function is not allowed` However they seem completely undocumented, e.g. in the CUDA 9.1 reference. Is there any relevant documentation anywhere ? 来源： https://stackoverflow.com/questions/49328130/is-there-any-documentation-for-nvccs-pragma-nv-exec-check-disable-and-or-p

I'm trying to run pycuda introductory tutorial after installing Visual C++ Express 2010 and all kinds of Nvidia drivers, SDK, etc. I get to mod = SourceModule(""" __global__ void doublify(float *a) { int idx = threadIdx.x + threadIdx.y*4; a[idx] *= 2; } """) without errors. But this call in IPython yields CompileError: nvcc compilation of c:\users\koj\appdata\local\temp\tmpbbhsca\kernel.cu failed [command: nvcc --cubin -arch sm_21 -m64 -IC:\Python27\lib\site-packages\pycuda\..\..\..\include\pycuda kernel.cu] [stderr: nvcc fatal : Visual Studio configuration file '(null)' could not be found for

I have a templated static CUDA library which I want to include into a common c++ project. When I include the headers of the library the compiler crashes and says It cannot resolve the CUDA-specific symbols. Of course the g++ compiler cannot interpret these symbols. I know the problem, but I do not know how to fix this problem using the nsight IDE. I'm using nsight for both, the cuda/nvcc library and the c++/g++ project. Console output: make all Building file: ../src/MedPrak.cpp Invoking: GCC C++ Compiler g++ -I/home/voodoocode/Praktikum/MedPrak/PrivateRepo/MedPrakCuda/src -O0 -g3 -Wall -c

I successfully installed the nvidia driver and toolkit for cuda 5 (but not the samples) on a 64 bit Ubuntu 12.04 box. The samples failed to install even though I previously ran $ sudo apt-get install freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libgl1-mesa-glx libglu1-mesa libglu1-mesa-dev I can't seem to find nvcc. I ran $ export LD_LIBRARY_PATH=/usr/local/cuda-5.0/lib:/usr/local/cuda-5.0/lib64:$LD_LIBRARY_PATH nvcc -v reports that the compiler is not found: nvcc -V No command 'nvcc' found, did you mean: Command 'nvlc' from package 'vlc-nox' (universe) nvcc: command not found