Heterogeneous Runtime Systems
Heterogeneous Runtime Systems is a parallel runtime system that manages computation and communication across diverse processing units with varying architectures, instruction sets, or performance characteristics, enabling coordinated execution of tasks in environments composed of dissimilar hardware resources.
176
Publications
17.5K
Citations
667
Authors
220
Institutions
Publications per year
2017–2026
52
Parents
176
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martı́n Abadi, Ashish Agarwal, Paul Barham et al. · arXiv (Cornell University) · 2016 · 9.8K citations · Full text
A domain-specific approach to heterogeneous parallelism
Hassan Chafi, Arvind K. Sujeeth, Kevin J. Brown et al. · 2011 · 123 citations
1–5 of 176
667
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Laboratoire Bordelais de Recherche en Informatique, France
6 publications · 179 citations
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5
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3
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1–5 of 667
220

Oak Ridge National Laboratory
Oak Ridge, United States
8 h-index
19 publications
517 citations
University of Tennessee at Knoxville
Knoxville, United States
7 h-index
31 publications
953 citations
Université de Bordeaux
Bordeaux, France
7 h-index
19 publications
520 citations
Laboratoire Bordelais de Recherche en Informatique
Talence, France
6 h-index
17 publications
441 citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
13 publications
238 citations

Linköping University
Linköping, Sweden
6 h-index
11 publications
363 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
18 publications
470 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
5 h-index
12 publications
370 citations
1–8 of 220
6 publications · 202 citations
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6 publications · 527 citations
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5 publications · 91 citations
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4 publications · 146 citations
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4 publications · 238 citations
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