Working with CUDA on Kaggle
Here’s a short guide on how to run CUDA code on Kaggle notebooks. This seems to be the cheapest setup to do so without acquiring actual Nvidia hardware – thanks Kaggle. Ensure your environment has access to a GPU Use Nvidia SMI to verify a Nvidia GPU is correctly configured. !nvidia-smi !nvcc --version Install nvcc4jupyter into the environment. !pip install nvcc4jupyter %load_ext nvcc4jupyter Run your cuda code prefixed with %%cuda! Sample Code Here’s some sample code from the first chapter of PMPP to test your setup, along with the expected output....