Nvidia Workshop Spring 2021: Fundamentals of Accelerated Computing with CUDA Python

Thursday, May 20, 2021

Description :

This course explored how to use Numba—the just-in-time, type-specializing Python function compiler—to accelerate Python programs to run on massively parallel NVIDIA GPUs. Participants learned how to:

• Use Numba to compile CUDA kernels from NumPy universal functions (ufuncs).
• Use Numba to create and launch custom CUDA kernels.
• Apply key GPU memory management techniques.

Upon completion, users were able to use Numba to compile and launch CUDA kernels to accelerate Python applications on NVIDIA GPUs.

Prerequisites:

• Basic Python competency, including familiarity with variable types, loops, conditional statements, functions, and array manipulations.
• NumPy competency, including the use of ndarrays and ufuncs.
• No previous knowledge of CUDA programming is required.

Hardware Requirements: Desktop or laptop computer capable of running the latest version of Chrome or Firefox. Each participant will be provided with dedicated access to a fully configured, GPU-accelerated server in the cloud.

For more info: Accelerated Computing with CUDA Python Workshop | NVIDIA

Workshop provided by Nvidia, Research Computing and UF Informatics Institute. Any questions, please contact Ying Zhang at yingz@ufl.edu.