Mike McCarty
Mike is a Senior Software Engineering Manager at NVIDIA working on RAPIDS where he manages teams working on RAPIDS Cloud and HPC deployments, build infrastructure and packaging, and PyData projects. He has also contributed to open source software projects in the PyData ecosystem such as Dask and Intake. He holds two bachelor’s degrees in computer science and physics, and has over 20 years of experience in software engineering and scientific computing in astronomy, computational sciences, data science, machine learning, and enterprise products.
Sessions
In this introductory hands-on tutorial, participants will learn how to accelerate their data workflows with RAPIDS, an open-source suite of libraries designed to leverage the power of NVIDIA GPUs for end-to-end data pipelines. Using familiar PyData APIs like cuDF (GPU-accelerated pandas) and cuML (GPU-accelerated machine learning), attendees will explore how to seamlessly integrate these tools into their existing workflows with minimal code changes, achieving significant speedups in tasks such as data processing and model training.