High-throughput Workflow Management
High-Throughput Workflow Management is a computational framework that orchestrates the automated execution, scheduling, and monitoring of large-scale, data-intensive workflows across distributed resources to maximize throughput and resource utilization in high-throughput computing environments.
39
Publications
2.2K
Citations
191
Authors
76
Institutions
Publications per year
2017–2026
18
Parents
39
Thomas S. Walter, Jonathan M. Diprose, Chris Mayo et al. · Acta Crystallographica Section D Biological Crystallography · 2005 · 250 citations · Full text
Subhashini Sivagnanam, Vadim Astakhov, Kenneth Yoshimoto et al. · 2013 · 74 citations
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University of Southern California, United States
3 publications · 55 citations
3
h-index
1–5 of 191
76
University of Southern California
Los Angeles, United States
4 h-index
17 publications
316 citations
Harvard University
Cambridge, United States
3 h-index
12 publications
713 citations
University of California San Diego
San Diego, United States
3 h-index
8 publications
1K citations
Argonne National Laboratory
Lemont, United States
3 h-index
5 publications
102 citations
Dartmouth College
Hanover, United States
3 h-index
10 publications
167 citations

Lawrence Berkeley National Laboratory
Berkeley, United States
3 h-index
17 publications
4.7K citations

TU Wien
Vienna, Austria
2 h-index
7 publications
122 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
2 h-index
22 publications
5.9K citations
1–8 of 76
5 publications · 150 citations
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4 publications · 125 citations
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2 publications · 581 citations
2
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MBE · 1 publications · 70 citations
1
h-index
1 publications · 30 citations
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