Presenter: Zoe Ryan, NVIDIA
Date/Time: Thursday, Nov 6, 2025
Time: 1:00 - 3:00 PM Central Time
Location: Zoom (Zoom coordinates will be provided to registrants before the workshop.)
This workshop will give you 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 codes through the CuPy library. Then we will cover NVIDIA RAPIDS, which provides GPU acceleration for end-to-end data science workloads. Finally, we will cover Warp for differentiable simulation codes. By the end of the workshop, you will have the skills to start accelerating your Python codes with NVIDIA GPUs!
Prerequisites: Basic familiarity with Python. Familiarity with NumPy and/or Scikit-learn is beneficial.
Instructor Bio: Zoe Ryan is a solutions architect at NVIDIA, working with higher education institutions and researchers. She joined NVIDIA in 2020 after studying computer science and mathematics at Harvey Mudd College. She's worked in embedded systems/simulations and GPU-accelerated high-performance computing. Now, she is focused on helping researchers adopt and fully utilize GPU technology across domains.
Hands-on participation: An account on the workshop's GPU computing resource will be provided to 50 attendees on a first-come, first-served basis on the day of the event. If you intend to request an account, please create an NVIDIA Developer Account before the workshop.
Although we recommend hands-on participation, you are welcome to attend if you only want to listen or use your own GPU resource.
Register by Nov 3, 2025