NVIDIA Workshop "Using GPUs with Python"
Zoom link available after registration
Python is the leading language for data science today and is being increasingly used in scientific computations. This workshop introduces Python GPU tools for porting and writing code that runs on GPUs. The primary tools, Numba and CuPy, are presented with examples. A Jupyter notebook is used for hands-on student exercises along with a set of lecture slides.
Prerequisites: To get the most out of the workshop, the student should have a good knowledge of Python.
Bio of Instructor:
Kristopher Keipert is a Solutions Architect at NVIDIA, focused on engagements in Higher Education and Research. With a research computing background, Kristopher enjoys assisting scientific developers with porting and optimizing their code for GPU. He also helps develop and deliver GPU workshops to enable the next generation of GPU programmers. Prior to NVIDIA, Kristopher was a computational scientist at Argonne National Laboratory where he performed research in analytical performance modeling, and acted as a lead developer on the NWChemEx computational chemistry program. Kristopher earned his PhD in physical chemistry from Iowa State University.
Please register using the following link
Zoom, link available after registration