GPU Computing Foundations: Architecture, Applications, and Acceleration
Abstract: This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and prepares learners for advanced topics such as GPU-accelerated data science and machine learning.
Speaker: Zoe Ryan is a Solutions Architect at NVIDIA, working on the Higher Education and Research team. She works with researchers to GPU accelerate their numerical computing codes, build out robotic simulations, and optimize their code for large scale runs. She spends one day a week on the Stanford campus, find her on Slack to talk about your own research!
About the NVIDIA GPU Computing Workshop Series
We are excited to announce a series of NVIDIA-led workshops designed to enhance your expertise in GPU computing. Whether you're a beginner or looking to deepen your skills, these sessions offer valuable insights and hands-on learning opportunities. Workshops are expected to be held on a monthly basis.
NOTE: This event is open to Stanford and NVIDIA affiliates only.
