romitjain / learning-gpu-programming

Learnings and experimentation with GPU programming

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learning-gpu-programming

Learnings and experimentation with GPU programming

  • cuda
  • Triton

The easiest way to set the environment is

  1. Have a Linux machine with a GPU
  2. Ensure nvidia-smi is installed
    1. Note the CUDA version
  3. Install conda
  4. Install the relevant CUDA toolkit version (from 2.1) using conda. Reference
  5. Use nvcc --version to verify the installation
  6. Run nvcc -o <output file name> <file to compile>

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Learnings and experimentation with GPU programming


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Language:Cuda 62.0%Language:Python 38.0%