| 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 |
