CUDA Version Min CC Deprecated CC Default CC Max CC 5.5 (and prior) 1.0 N/A 1.0 ? 6.0 1.0 1.0 1.0 ? 6.5 1.1 1.x 2.0 ? 7.x 2.0 N/A 2.0 ? 8.0 2.0 2.x 2.0 6.2 9.x 3.0 N/A 3.0 7.0 10.x 3.0 N/A * 3.0 7.5 11.x 3.5 † 3.x 5.2 11.0:8.0, 11.1:8.6, … Read more
The answer to your question is YES. The nvcc compiler driver is not related to the physical presence of a device, so you can compile CUDA codes even without a CUDA capable GPU. Be warned however that, as remarked by Robert Crovella, the CUDA driver library libcuda.so (cuda.lib for Windows) comes with the NVIDIA driver … Read more
Solution as suggested in the comments: export PATH=/usr/local/cuda-8.0/bin:$PATH The problem was the ordering of $PATH, that my previous command had the =$PATH:/usr/local… instead of =/usr/local….:$PATH
From cuda document http://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#driver-api http://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html#versioning-and-compatibility It seems cuda driver is libcuda.so which is included in nvidia driver and used by cuda runtime api Nvidia driver includes driver kernel module and user libraries. Cuda toolkit is an SDK contains compiler, api, libs, docs, etc…
I’m not a CUDA expert, — I’ve been developing with the AMD Stream SDK, which AFAIK is roughly comparable. You can disable the Windows watchdog timer, but that is highly not recommended, for reasons that should be obvious. To disable it, you need to regedit HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\Watchdog\Display\DisableBugCheck, create a REG_DWORD and set it to 1. You … Read more
It is a computer Architecture question which entails a long answer. I will try to keep it very simple on the risk of being inaccurate. You basically self-answered your question by asking do CUDA core handle branch prediction, the answer is NO. A CPU core has to handle each single operation a computer does, calculation, … Read more
This type of error message frequently refers to the launch configuration parameters (grid/threadblock dimensions in this case, could also be shared memory, etc. in other cases). When you see a message like this it’s a good idea just to print out your actual config parameters before launching the kernel, to see if you’ve made any … Read more
You need to ensure that your driver version matches or exceeds your CUDA Toolkit version. For 2.3 you need a 190.x driver, for 3.0 you need 195.x and for 3.1 you need 256.x (actually anything up to the next multiple of five is ok, e.g. 258.x for 3.1). You can check your driver version by … Read more
Met this question when installing cudatoolkit of 10.1 with PyTorch 1.4. There is a conda-forge package https://anaconda.org/conda-forge/cudatoolkit-dev. After installing this, nvcc as well as other CUDA libraries will be then available at /home/li/anaconda3/envs/<env_name>/pkgs/cuda-toolkit in bin/ and lib/.
These are all barriers. Barriers prevent code execution beyond the barrier until some condition is met. cudaDeviceSynchronize() halts execution in the CPU/host thread (that the cudaDeviceSynchronize was issued in) until the GPU has finished processing all previously requested cuda tasks (kernels, data copies, etc.) cudaThreadSynchronize() as you’ve discovered, is just a deprecated version of cudaDeviceSynchronize. … Read more