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Join the ASU Research Software Engineers in their first seminar Research Software Engineering in Action: Accelerated Data Science with R and Python with presenter Nathan Stephens from NVIDIA on Thursday, December 15, 2022, 11 a.m.–noon (online and in-person).

Research Software Engineering in Action: Accelerated Data Science with R and Python
Thursday, December 15, 2022
11 a.m.–noon
Life Sciences Center A (LSA), Tempe campus [map] and online
Register to attend — seats are limited!

The RAPIDS suite of software libraries, built on CUDA-X AI, gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA CUDA primitives for low-level compute optimization, but exposes GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar DataFrame API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes. This demonstration uses RAPIDS to analyze data, train models, and deploy saved models for inference serving. It will also demonstrate how to connect to RAPIDS via an experimental R API.

Nathan Stephens is a senior manager for developer relations at NVIDIA. His background is in analytic solutions and consulting. He has experience building data science teams, architecting analytic infrastructure, and delivering innovative data products.

Nathan most recently comes from RStudio where he managed the solutions engineering team. He is a longtime advocate for operationalizing data science using open-source software.

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