Scalable Computing
Scalable Computing is a distributed computing paradigm that enables systems to maintain proportional performance and efficiency as workload or system规模 increases by dynamically accommodating additional resources.
597
Publications
56.5K
Citations
2.3K
Authors
609
Institutions
Publications per year
2017–2026
173
Parents
597
Scalable web services for the PSIPRED Protein Analysis Workbench
Daniel Buchan, Federico Minneci, Tim C. O. Nugent et al. · Nucleic Acids Research · 2013 · 1.3K citations · Full text
Jeremy L. O’Brien · Science · 2007 · 1.2K citations · Full text
Computing, Computer Science, Physics +17
Squidpy: a scalable framework for spatial omics analysis
Giovanni Palla, Hannah Spitzer, Michal Klein et al. · Nature Methods · 2022 · 1.1K citations · Full text
1–5 of 597
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609

Oak Ridge National Laboratory
Oak Ridge, United States
14 h-index
53 publications
8K citations
Los Alamos National Laboratory
Los Alamos, United States
13 h-index
23 publications
2.3K citations
Georgia Institute of Technology
Atlanta, United States
12 h-index
22 publications
1.3K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
12 h-index
27 publications
3.1K citations
Argonne National Laboratory
Lemont, United States
11 h-index
47 publications
1.8K citations

Lawrence Berkeley National Laboratory
Berkeley, United States
10 h-index
43 publications
3.5K citations
IBM (United States)
Armonk, United States
10 h-index
28 publications
1K citations
University of California, Berkeley
Berkeley, United States
10 h-index
16 publications
808 citations
1–8 of 609
Repository · 17 publications · 612 citations
13
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PRL · 10 publications · 1.7K citations
10
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TPDS · 9 publications · 313 citations
9
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9 publications · 306 citations
9
h-index
8 publications · 505 citations
8
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