Dataflow Mapping
Dataflow Mapping is a method in reconfigurable accelerator design that specifies how computational operations and data dependencies in an application are assigned to processing elements and communication resources in a target architecture to optimize performance, resource utilization, and data movement efficiency.
103
Publications
3.5K
Citations
408
Authors
139
Institutions
Publications per year
2017–2026
28
Parents
103
1–5 of 103
408
University of Maryland, College Park, United States
6 publications · 145 citations
6
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5
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5
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3
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3
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1–5 of 408
139
Institut d'Électronique et des Technologies du numéRique
Rennes, France
6 h-index
12 publications
161 citations
University of Maryland, College Park
College Park, United States
6 h-index
24 publications
525 citations

University of Cagliari
Cagliari, Italy
5 h-index
14 publications
275 citations
Institut National des Sciences Appliquées de Rennes
Rennes, France
5 h-index
10 publications
138 citations
Tsinghua University
Beijing, China
3 h-index
11 publications
322 citations
University of California, Berkeley
Berkeley, United States
3 h-index
8 publications
288 citations

University of Twente
Enschede, The Netherlands
3 h-index
7 publications
460 citations
Seoul National University
Seoul, South Korea
3 h-index
7 publications
103 citations
1–8 of 139
3 publications · 101 citations
3
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TECS · 2 publications · 33 citations
2
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2 publications · 119 citations
2
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Repository · 2 publications · 21 citations
2
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FGCS · 1 publications · 13 citations
1
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1–5