nvcc

When running nvcc, it always uses the Visual C++ compiler ( cl.exe ). How can I make it use the GCC compiler? Setting the CC environment-variable to gcc didn't fix it. I also couldn't find any option for this in the executeables help-output. On Windows, NVCC only supports the Visual C++ compiler (cl.exe) for host compilation. You can of course compile .cpp (non-CUDA) code using GCC and link the objects with objects generated by nvcc. 来源： https://stackoverflow.com/questions/12117779/specify-compiler-nvcc-uses-to-compile-host-code

I got installed cuda 7, but when I hit nvcc --version, it prints out 6.5. I would like to install Theano library on GTX 960 card, but it needs nvcc 7.0. Ive tried reinstall cuda, but it didn't update nvcc. When I run apt-get install nvidida-cuda-toolkit, it instals only 6.5. How can I update nvcc to version 7.0 ? Please follow the official installation guide to uninstall your current cuda environment and then install the lateest CUDA developing environment, it includes cudaSDK, cudatoolkit and driver. 来源： https://stackoverflow.com/questions/34319877/nvcc-has-different-version-than-cuda

I use the command lines in Ubuntu's terminal. And I am trying to compile the three files presented in CUDA_Compiler_Driver_NVCC.pdf When I do use the command line given by the documentation on these 3 files, I do get the following errors: nvcc fatal : don't know what to do with'-dc' If I erase -dc in the command line, I do get the following error too: nvcc fatal : don't know what to do with'-arch=sm=20' Do anyone know how I could fix this issue ? Thanks a lot in advance for your help Gibo Below, you will find the command line I entered in the terminal, and the files. Command line used: nvcc

CUDA compilers have options for producing 32-bit or 64-bit PTX. What is the difference between these? Is it like for x86, NVidia GPUs actually have 32-bit and 64-bit ISAs? Or is it related to host code only? Robert Crovella Pointers are certainly the most obvious difference . 64 bit machine model enables 64-bit pointers. 64 bit pointers enable a variety of things, such as address spaces larger than 4GB, and unified virtual addressing . Unified virtual addressing in turn enables other things, such as GPUDirect Peer-to-Peer . The CUDA IPC API also depends on 64 bit machine model. The x64 ISA is

OS : Ubuntu 14.04LTS Language : Python Anaconda 2.7 (keras, theano) GPU : GTX980Ti CUDA : CUDA 7.5 I wanna run keras python code on IPython Notebook by using my GPU(GTX980Ti) But I can't find it. I want to test below code. When I run it on to Ubuntu terminal, I command as below (It uses GPU well. It doesn't have any problem) First I set the path like below export PATH=/usr/local/cuda/bin:$PATH export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH Second I run the code as below THEANO_FLAGS='floatX=float32,device=gpu0,nvcc.fastmath=True' python myscript.py And it runs well. But when i

I have installed CUDA 5.0 and NVCC on my Ubuntu virtual machine and have had problems compiling even a basic CUDA C program. The error is as follows: user@ubuntu:~/CUDA$ nvcc helloworld.cu -o helloworld.o -target-cpu-arch=ARM -ccbin=/usr/bin/arm-linux-gnueabi-gcc-4.6 --machine=32 /usr/lib/gcc/arm-linux-gnueabi/4.6/../../../../arm-linux-gnueabi/bin/ld: skipping incompatible /usr/local/cuda-5.0/bin/../lib/libcudart.so when searching for -lcudart /usr/lib/gcc/arm-linux-gnueabi/4.6/../../../../arm-linux-gnueabi/bin/ld: skipping incompatible /usr/lib/libcudart.so when searching for -lcudart /usr

I'm trying to compile a kernel that uses dynamic parallelism to run CUBLAS to a cubin file. When I try to compile the code using the command nvcc -cubin -m64 -lcudadevrt -lcublas_device -gencode arch=compute_35,code=sm_35 -o test.cubin -c test.cu I get ptxas fatal : Unresolved extern function 'cublasCreate_v2 If I add the -rdc=true compile option it compiles fine, but when I try to load the module using cuModuleLoad I get error 500: CUDA_ERROR_NOT_FOUND. From cuda.h: /** * This indicates that a named symbol was not found. Examples of symbols * are global/constant variable names, texture names,

I struggle with Caffe compilation. Unfortunately I failed to compile it. Steps I followed: git clone https://github.com/BVLC/caffe.git cd caffe mkdir build cd build cmake .. make all Running make all fails with the following error message: [ 2%] Building NVCC (Device) object src/caffe/CMakeFiles/cuda_compile.dir/util/cuda_compile_generated_im2col.cu.o In file included from /usr/include/cuda_runtime.h:59:0, from <command-line>:0: /usr/include/host_config.h:82:2: error: #error -- unsupported GNU version! gcc 4.9 and up are not supported! #error -- unsupported GNU version! gcc 4.9 and up are not