Jacob Tomlinson • 5/12/2023

Debugging Data Science workflows at scale

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The article details the author's process for debugging a complex performance issue where Dask workers became idle when scaling to hundreds of GPUs in an Apache Beam pipeline. It covers steps like collecting information on the workflow, isolating variables, and creating minimal reproducers to identify the root cause of a scheduling or graph problem at extreme scale.

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#debugging #distributed computing #Scalability
Debugging Data Science workflows at scale

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