(Originally scheduled for March 8 but now taking place on March 22)

This workshop will introduce participants to high-performance Python on GPUs using tools to provide simplified GPU programming, as well as offer a brief look into creating custom kernels by hand. The main software libraries include CuPy and Numba.

Workshop format: Presentation with hands-on exercises.

Target audience: Those with Python experience looking to improve the performance of their code using GPUs.

Knowledge prerequisites: Some experience with Python is required.

Hardware/software prerequisites: For this workshop, users must have an account on our Adroit cluster, and they should confirm that they can SSH into Adroit at least a few hours beforehand. Details on all of the above can be found in this guide: https://bit.ly/3QER9Sv

Learning objectives: Participants will come away with the ability to accelerate their Python code using GPUs.