Now I can compile and run the following test program: You can also search under: software-properties-gtk Sudo apt install nvidia-driver-435 nvidia-opencl-dev Then, I find and install the latest driver available: apt-cache search nvidia-driver The software integration got a lot better since I had last tried, so I will do an update.įirst, at least for graphics, I needed to tweak some BIOS settings as mentioned at, not sure needed for OpenCL: Ubuntu 20.04 with an NVIDIA Quadro M1200, Lenovo P51 In theory, AMD's APP Acceleration supports running OpenCL on the CPU, but it's not clear that it actually works. When you compile, make sure to link against the OpenCL library (pass gcc the -lOpenCL flag).Īs far as your netbook, integrated graphics don't generally support OpenCL. Make sure to include CL/cl.h (or CL/cl.hpp if you'd like to use C++ version of API) in any C(++) program which makes OpenCL API calls. This should have been put in place by the driver, so you shouldn't have to do anything. Instead of creating a symlink, you could add /usr/local/cuda/include to your C_INCLUDE_PATH and CPLUS_INCLUDE_PATH environment variables, but this would last for only currest session.Ģ) Make sure that the OpenCL library (libOpenCL.so) is present in /usr/lib. To make these headers available system wide, you should link this directory into /usr/include/, such that they may be accessed as /usr/include/CL/. Once these are installed, you'll need to perform a few more steps to be able to compile and run OpenCL outside of the NVIDIA SDK.ġ) The CUDA toolkit will have included the OpenCL headers (Listed at ), likely they are in the directory /usr/local/cuda/include/CL. You can download them from, and just put it in /usr/local/cuda/include/CL an you desktop. Strangely, they are not included with CUDA Toolkit, but in case you use C++, they could make your code much more redable. This includes various NVIDIA specific support tools, as well as OpenCL code samples.Īll three of these items may be found at. ![]() Install this to the default location.ģ) The GPU Computing SDK (optional). This includes the headers necessary to compile OpenCL code. ![]() OpenCL libaries are shipped with driver, so to just run OpenCL programs driver should be enough.Ģ) The CUDA toolkit. The same drivers installed through the restricted drivers manager. Unless you have explicit need for currentĭrivers, you should stick with the ones packaged with Ubuntu. Old, but they should still work just fine. The drivers packaged with Ubuntu are somewhat To compile and run OpenCL code under Linux, you'll need four things:ġ) An NVIDIA Driver which supports OpenCL.
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