Naty Clementi
Naty is a Senior Software Engineer at NVIDIA. She is a former academic with a Masters in Physics and PhD in Mechanical and Aerospace Engineering to her name. She is currently contributing to RAPIDS, but in the past has also contributed and maintained other open source projects such as Ibis and Dask. She is also an active member of PyLadies and an active volunteer and organizer of Women and Gender Expansive Coders DC meetups.
Session
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.