"Plumber: Diagnosing and Removing Performance Bottlenecks in Machine ..."

Michael Kuchnik et al. (2021)

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DOI: —

access: open

type: Informal or Other Publication

metadata version: 2021-11-10

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  - electronic edition @ arxiv.org (open access)
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  dblp key:
  - journals/corr/abs-2111-04131
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2111-04131
Michael Kuchnik, Ana Klimovic, Jiri Simsa, George Amvrosiadis, Virginia Smith:
Plumber: Diagnosing and Removing Performance Bottlenecks in Machine Learning Data Pipelines. CoRR abs/2111.04131 (2021)

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