NVIDIA workshop on GPUs and AI


Zoom link



Link: https://libcal.dartmouth.edu/calendar/itc/nvidia-workshop
Host: Research Computing and Thayer IT
Audience: Faulty, Students, Researchers


Wednesday January 24th: Engineer and Comp Science Ctr B01 Holekamp Family

8:30 - 8:45 AM Welcome / intro
8:45 - 10:00 AM 5 Ways to Get Started with GPUs - with NVIDIA's Brad Palmer

An introduction to GPU acceleration that outlines the 5 ways to accelerate computationally intensive code using GPUs. This session is a great starting point for those who would like to begin leveraging the benefits of accelerated computing. We offer a variety of easy methods to get started and also touch on the more advanced methods.
10:00 - 11:00 AM NVIDIA hardware & software platforms in 2024 - with NVIDIA's Brad Palmer
11:00 - 12:00 PM Overview of GPU cloud offerings and containerization best practices - with NVIDIA's Brad Palmer
12:00 - 1:15 PM Lunch
1:15 - 3:15 PM Workshop: Using NVIDIA GPUs with Python - with NVIDIA's Zoe Ryan

In this workshop, you'll get hands-on experience accelerating Python codes with NVIDIA GPUs. We will utilize code samples in two main categories to introduce you to Python GPU accelerated computing. First, we will explore drop-in replacements for SciPy and NumPy code through the CuPy library. Second, we’ll cover NVIDIA RAPIDS, which provides GPU acceleration for end-to-end data science workloads. We'll finish with an end-to-end example that incorporates all the tools introduced to tackle a geospatial problem. By the end of the workshop, you'll have the skills to start accelerating your own Python codes with NVIDIA GPUs!
3:15 - 3:30 PM Wrap up and overflow