Data Distribution Strategies
Data Distribution Strategies is a methodological framework in distributed memory programming that systematically determines how data is partitioned, mapped, and allocated across processing nodes to optimize data locality and minimize communication overhead.
430
Publications
21.2K
Citations
1.4K
Authors
519
Institutions
Publications per year
2017–2026
142
430
ProGen2: Exploring the boundaries of protein language models
Erik Nijkamp, Jeffrey A. Ruffolo, Eli N. Weinstein et al. · Cell Systems · 2023 · 426 citations · Full text
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519
Tsinghua University
Beijing, China
11 h-index
40 publications
1.4K citations
National University of Singapore
Singapore, Singapore
8 h-index
25 publications
4.2K citations
Georgia Institute of Technology
Atlanta, United States
7 h-index
14 publications
1.7K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
17 publications
767 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
6 h-index
16 publications
800 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
6 h-index
6 publications
212 citations
IBM (United States)
Armonk, United States
6 h-index
11 publications
525 citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
13 publications
634 citations
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TPDS · 15 publications · 872 citations
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Repository · 17 publications · 525 citations
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9 publications · 258 citations
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PVLDB · 6 publications · 234 citations
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5 publications · 328 citations
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