Cornell University

We will discuss how to accelerate and tackle common bottlenecks (e.g., memory management, data loading, data format conversion across different frameworks) in general medicine data analytics pipelines by using GPU-accelerated Python libraries like RAPIDS. Additionally, we will demo an end-to-end GPU-accelerated pipeline for an electrocardiogram AI application. Level: Intermediate. Prequisites: Experience using Python for data analysis. Time: Wednesday, March 12, 2025, 12 noon-1 pm ET, with 30 mins optional discussion time immediately afterward.

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