2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS)

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2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS) - 最新文献

Comparing GPU Power and Frequency Capping: A Case Study with the MuMMI Workflow

Pub Date : 2019-11-01 DOI: 10.1109/WORKS49585.2019.00009 Tapasya Patki, Zachary Frye, H. Bhatia, F. Natale, J. Glosli, Helgi I. Ingólfsson, B. Rountree

A Top-Down Performance Analysis Methodology for Workflows: Tracking Performance Issues from Overview to Individual Operations

Pub Date : 2019-11-01 DOI: 10.1109/WORKS49585.2019.00008 Ronny Tschüter, C. Herold, William Williams, Maximilian Knespel, Matthias Weber

A Codesign Framework for Online Data Analysis and Reduction

Pub Date : 2019-11-01 DOI: 10.1109/WORKS49585.2019.00007 Kshitij Mehta, Ian T Foster, S. Klasky, B. Allen, M. Wolf, Jeremy S. Logan, E. Suchyta, J. Choi, Keichi Takahashi, I. Yakushin, T. Munson

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