Data Flow Scheduling
Data Flow Scheduling is a microarchitectural optimization technique that determines the order of instruction execution based on the availability of input operands rather than program order, thereby enabling parallelism through dynamic dependency resolution.
163
Publications
6.6K
Citations
342
Authors
161
Institutions
Publications per year
2017–2026
14
Variants
Dataflow Scheduling
Parents
163
1–5 of 163
342
University of Maryland, College Park, United States
11 publications · 416 citations
11
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8
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8
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7
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7
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1–5 of 342
161
University of California, Berkeley
Berkeley, United States
11 h-index
19 publications
2K citations
University of Maryland, College Park
College Park, United States
8 h-index
19 publications
572 citations

University of Minnesota
Minneapolis, United States
8 h-index
13 publications
635 citations

University of Notre Dame
Notre Dame, United States
7 h-index
11 publications
404 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
6 h-index
21 publications
522 citations
Princeton University
Princeton, United States
6 h-index
14 publications
543 citations
Institut d'Électronique et des Technologies du numéRique
Rennes, France
5 h-index
10 publications
261 citations
University of Southern California
Los Angeles, United States
5 h-index
9 publications
1.4K citations
1–8 of 161
6 publications · 333 citations
6
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5 publications · 525 citations
5
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4 publications · 149 citations
4
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Conference · 3 publications · 51 citations
3
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TPDS · 3 publications · 230 citations
3
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