GPU Accelerated Python

Accelerating Python using the GPU is much easier than you might think. We will explore the powerful CUDA-enabled Python ecosystem in this tutorial through hands-on examples using some of the most popular accelerated scientific computing libraries.

Topics include:

• Introduction to General Purpose GPU Computing
• GPU vs CPU - Which processor is best for which tasks
• Introduction to CUDA
• How to use CUDA with Python
• Using Numba to write kernel functions
• CuPy
• cuDF

No prior experience with GPU’s is necessary, but attendees should be familiar with Python.