Menu
LLVM has a back end for both AMD and NVIDIA GPUS. Is it currently possible to compile c++ (or a subset) to GPU code with clang and run it? Obviously things like the standard library would be unavailable, as well as operator new and delete. I'm not looking for OpenCL or CUDA, I'm thinking of a fully ahead-of-time compiled program, even a trivial one.
476
Installation: First, make sure that Nvidia drivers are upto date also you can install cudatoolkit explicitly from here. then install Anaconda add anaconda to the environment while installing. After completion of all the installations run the following commands in the command prompt.
Using the CUDA Toolkit you can accelerate your C or C++ applications by updating the computationally intensive portions of your code to run on GPUs. To accelerate your applications, you can call functions from drop-in libraries as well as develop custom applications using languages including C, C++, Fortran and Python.
Switching to the dedicated Nvidia GPU - Open the tab Program Settings and choose the game from the dropdown menu. - Next, select the preferred graphics processor for this program from the second dropdown. Your Nvidia GPU should show as High performance Nvidia processor. Finally, save your changes.
No, you need some language like OpenCL or CUDA, because a GPGPU is not an ordinary computer and has a different programming model (grossly speaking, SIMD like). GPGPU compute kernels have specific constraints.
You might want to consider using OpenACC pragmas in your C++ code (and use a recent GCC compiler).
102
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
