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"Scalable Composition and Analysis Techniques for Massive Scientific Workflows."

Dong H. Ahn et al. (2022)

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DOI: 10.1109/ESCIENCE55777.2022.00018

access: closed

type: Conference or Workshop Paper

metadata version: 2024-02-05

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  dblp key:
  - conf/eScience/AhnZMHNKJKMSEAL22
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  persistent URL:
  - https://dblp.org/rec/conf/eScience/AhnZMHNKJKMSEAL22
Dong H. Ahn, Xiaohua Zhang, Jeffrey Mast, Stephen Herbein, Francesco Di Natale, Dan Kirshner, Sam Ade Jacobs, Ian Karlin, Daniel J. Milroy, Bronis R. de Supinski, Brian Van Essen, Jonathan E. Allen, Felice C. Lightstone:
Scalable Composition and Analysis Techniques for Massive Scientific Workflows. e-Science 2022: 32-43

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