Parameterized Dataflow
Parameterized Dataflow is a dataflow model that extends static dataflow by allowing actors to have parameters that control their behavior, enabling expressive and analyzable representations of parameter-dependent execution patterns.
18
Publications
651
Citations
66
Authors
36
Institutions
Publications per year
2017–2026
3
Parents
18
TensorLib: A Spatial Accelerator Generation Framework for Tensor Algebra
Liancheng Jia, Zizhang Luo, Liqiang Lu et al. · 2021 · 47 citations
1–5 of 18
66
University of Maryland, College Park, United States
8 publications · 437 citations
8
h-index
3
h-index
Institut national de recherche en sciences et technologies du numérique, France
2 publications · 51 citations
2
h-index
London School of Hygiene & Tropical Medicine, United Kingdom
2 publications · 298 citations
2
h-index
2
h-index
1–5 of 66
36
University of Maryland, College Park
College Park, United States
8 h-index
19 publications
849 citations
Institut National des Sciences Appliquées de Rennes
Rennes, France
2 h-index
7 publications
265 citations
Institut d'Électronique et des Technologies du numéRique
Rennes, France
2 h-index
7 publications
265 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
2 h-index
6 publications
153 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
2 h-index
7 publications
135 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
7 publications
265 citations
Texas Instruments (France)
Boulogne-Billancourt, France
1 h-index
1 publications
71 citations

Peking University
Beijing, China
1 h-index
4 publications
188 citations
1–8 of 36
1 publications · 16 citations
1
h-index
1 publications · 15 citations
1
h-index
1 publications · 13 citations
1
h-index
1 publications · 240 citations
1
h-index
1 publications · 10 citations
1
h-index
1–5