Speakers: Karen Bradshaw
Tutorial website: https://sites.google.com/ru.ac.za/cuda-python-tutorial/home
Agenda: Fundamentals of Accelerated Computing with CUDA Python
This tutorial teaches the fundamental tools and techniques for running GPU-accelerated Python applications using CUDA® and the NUMBA compilers. Participants will work through dozens of hands-on coding exercises, and at the end of the training, implement a new workflow to accelerate an example program originally designed for CPUs, observing impressive performance gains.
On completion of this tutorial, participants will have an understanding of the fundamental tools and techniques for GPU-accelerated Python applications with CUDA and Numba including the ability to:
Karen Bradshaw. Associate Professor in the Department of Computer Science, Rhodes University, South Africa. NVIDIA Deep Learning Institute (DLI) Certified Instructor in CUDA C/C++ and CUDA Python. PhD in Computer Science from Cambridge University, UK
Research interests: Distributed and parallel programming (including GPGPU), programming languages, simulation and modeling.
For more information, see departmental website here
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