Date and Time: Oct. 18 and Oct. 20, 9am – 1pm

Venue: Virtual on ZOOM


In partnership with NVIDIA, UF is offering another workshop to support applications of artificial intelligence throughout the university. The workshop will feature a hands-on approach to learning how to leverage AI and accelerated computing tools. The workshop Fundamentals of Accelerated Computing with CUDA Python explores how to use Numba—the just-in-time, type-specializing Python function compiler—to accelerate Python programs to run on massively parallel NVIDIA GPUs. You will learn how to:

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


  • 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.

Suggested materials to satisfy prerequisites: 

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.

Certificate: Upon successful completion of the assessment, participants will receive an NVIDIA DLI certificate to recognize their subject matter competency.