Dataflow Synthesis
Dataflow Synthesis is a high-level synthesis methodology that belongs to the class of compilation techniques for hardware design, specifically distinguished by its emphasis on representing and optimizing computations as a directed graph of data dependencies, where operations execute as soon as their input data are available, thus enabling concurrent execution and efficient resource utilization in the generated hardware.
228
Publications
7.6K
Citations
490
Authors
182
Institutions
Publications per year
2017–2026
29
Parents
228
1–5 of 228
490
University of Maryland, College Park, United States
13 publications · 337 citations
12
h-index
12
h-index
12
h-index
10
h-index
École Polytechnique Fédérale de Lausanne, Switzerland
10 publications · 161 citations
10
h-index
1–5 of 490
182
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
15 h-index
63 publications
1.4K citations
Seoul National University
Seoul, South Korea
11 h-index
22 publications
515 citations
University of Maryland, College Park
College Park, United States
11 h-index
24 publications
656 citations
Institut d'Électronique et des Technologies du numéRique
Rennes, France
10 h-index
25 publications
852 citations

University of Minnesota
Minneapolis, United States
10 h-index
23 publications
562 citations
University of Southern California
Los Angeles, United States
10 h-index
25 publications
2.2K citations
University of California, Berkeley
Berkeley, United States
8 h-index
19 publications
959 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
8 h-index
20 publications
1.3K citations
1–8 of 182
15 publications · 1.1K citations
13
h-index
10 publications · 434 citations
10
h-index
Conference · 6 publications · 637 citations
6
h-index
TODAES · 3 publications · 177 citations
3
h-index
Conference · 3 publications · 357 citations
3
h-index
1–5