lcford2 / how_to_gpu_in_python

Fork of Maxim Belkin's repository for TACC Training "How to GPU in Python"

Python + GPU

This repository demonstrates available strategies for using GPUs in Python.

Prerequisites

1. Computer with an NVIDIA GPU.
2. Interactive Python 3 environment capable of running Jupyter notebooks. You can use a Jupyter Lab or Google Colaboratory, which provides cloud-based Jupyter-like environment with GPUs.

Contents

1. Introduction to GPGPU Programming
2. Introduction to CUDA
3. Introduction to PyCUDA
4. Introduction to CuPy
5. Introduction to Numba
6. Introduction to cuDF