Dag Scheduling
DAG Scheduling is a computational workflow management technique that specifically determines the execution order of tasks in a directed acyclic graph (DAG) according to their dependencies and resource constraints.
218
Publications
10.1K
Citations
514
Authors
250
Institutions
Publications per year
2017–2026
59
Parents
218
1–5 of 218
514
9
h-index
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h-index
7
h-index
University of North Carolina at Chapel Hill, United States
6 publications · 311 citations
6
h-index
6
h-index
1–5 of 514
250

Hunan University
Changsha, China
9 h-index
26 publications
1.6K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
9 h-index
20 publications
757 citations
North Carolina State University
Raleigh, United States
8 h-index
13 publications
545 citations
The Ohio State University
Columbus, United States
8 h-index
20 publications
948 citations

University of Massachusetts Amherst
Amherst Center, United States
6 h-index
11 publications
400 citations

École Normale Supérieure de Lyon
Lyon, France
6 h-index
12 publications
208 citations

University of Manchester
Manchester, United Kingdom
6 h-index
7 publications
887 citations
Laboratoire de l'Informatique du Parallélisme
Lyon, France
6 h-index
13 publications
219 citations
1–8 of 250
TPDS · 21 publications · 2.1K citations
20
h-index
9 publications · 472 citations
8
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7 publications · 289 citations
7
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4 publications · 68 citations
4
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3 publications · 250 citations
3
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1–5