Research IT

NVidia - Fundamentals of Accelerated Computing with CUDA Python

Join Research IT and NVidia to learn more about the fundamental tools and techniques for running GPU-accelerated Python applications.

Nov. 15, 2022 09:00 — 13:00

Nov. 16, 2022 09:00 — 13:00

Webinar

This webinar training exclusively for University of Manchester PGRs, researchers and lecturers will take place over two days:

  • 15th and 16th Nov 9am - 1pm each day

Please ensure that you can attend both days before registering.

At the conclusion of the workshop, you’ll have an understanding of the fundamental tools and techniques for GPU-accelerated Python applications with CUDA and Numba:

  • GPU-accelerate NumPy ufuncs with a few lines of code.
  • Configure code parallelization using the CUDA thread hierarchy.
  • Write custom CUDA device kernels for maximum performance and flexibility.
  • Use memory coalescing and on-device shared memory to increase CUDA kernel bandwidth.

For full details of the workshop content please see the NVidia website.

Details on how to join the workshop online will sent to attendees in advance of the event.