Look Who it Was Random video

Accelerating Data Science with RAPIDS - Mike Wendt

627 views · Published 29 November 2018 · 40:33 · Indexed 31 October 2026

Channel: PyData · 2018 · Science & Technology

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PyData LA 2018 

Data science demands the interactive exploration of large volumes of data, combined with computationally intensive algorithms and analytics. Today, the computational limits of CPUs are being realized, and a new approach is needed. We will discuss how the GPU Open Analytics Initiative is breaking the compute barrier with GPU-accelerated libraries such as PyGDF and accelerating data science.

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