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1hour_intro_rise.ipynb (29396, 2023-05-03)
C2d.png (140148, 2023-05-03)
Tutorial1-intro.ipynb (10636, 2023-05-03)
Tutorial1-libraries.ipynb (168471, 2023-05-03)
Tutorial2-kernels.ipynb (23666, 2023-05-03)
Tutorial3-memory.ipynb (160246, 2023-05-03)
porg.jpg (281631, 2023-05-03)
quadrature_cpu.c (2799, 2023-05-03)
quadrature_gpu.cu (6610, 2023-05-03)

# gpuschool2018 Examples and teaching material for the July 2018 "Introduction to GPU programming" summer school at the University of Warwick. To run the notebooks you will need a CUDA capable GPU card. The examples use double precision arithmetic and assume a GPU with a compute capability of 2.0 or higher. The school was conducted using Kepler K20c and K80 hardware. * [CUDA Toolkit](https://developer.nvidia.com/cuda-toolkit) (tested with version 9.1-11.1) * [Python 3](https://www.python.org/downloads/) * [Numpy](http://www.numpy.org/) * [Numba](https://numba.pydata.org/) * [CuPy](https://cupy.dev) * [Pillow](https://python-pillow.org/) * [Matplotlib](https://matplotlib.org/) * [Jupyter](http://jupyter.org/) This software is available on all Linux hosts managed by the [Scientific Computing Research Technology Plaform](https://warwick.ac.uk/research/rtp/sc) at the [University of Warwick](https://warwick.ac.uk/) via environment modules, On the (old) CentOS 7 desktop use: ``` $ module load GCC/10.2.0 CUDA/11.1.1 OpenMPI/4.0.5 Python OpenBLAS numba CuPy Pillow IPython matplotlib ``` One new (new) Rocky 9 desktop use: ``` $ module load GCC/11.3.0 OpenMPI/4.1.4 CUDA/11.7.0 Python numba CuPy Pillow IPython matplotlib ``` Porgs are cool.

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