In this in-person workshop, you'll get hands-on experience accelerating Python codes using NVIDIA GPUs. NVIDIA experts will lead the session where you 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 GPUs!
This event is organized by CUIT Research Computing Services in partnership with NVIDIA. Virtual attendance is not available for the Python with GPUs workshop, however we often host virtual workshops so bookmark https://www.cuit.columbia.edu/rcs/training to check in on future sessions or watch past recordings in our video library.
