High-performance Computing Performance
High-Performance Computing Performance is a scholarly construct in the domain of Performance Architecture that denotes the measurable efficiency and scalability of computational systems in executing complex, data-intensive tasks at extreme scales, distinguished by its focus on optimizing hardware utilization, parallel processing capabilities, and algorithmic throughput within high-performance computing environments.
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288
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Christian Bienia, Sanjeev Kumar, Jaswinder Pal Singh et al. · 2008 · 3.4K citations
ProtTest 3: fast selection of best-fit models of protein evolution
Diego Darriba, Guillermo L. Taboada, Ramón Doallo et al. · Bioinformatics · 2011 · 2.8K citations · Full text
Life Sciences, Bioinformatics, High-performance Computing +10
Tal Garfinkel, Ben Pfaff, Jim Chow et al. · ACM SIGOPS Operating Systems Review · 2003 · 897 citations
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Oak Ridge National Laboratory
Oak Ridge, United States
32 h-index
208 publications
15.2K citations

Lawrence Berkeley National Laboratory
Berkeley, United States
31 h-index
157 publications
7.2K citations
Argonne National Laboratory
Lemont, United States
29 h-index
140 publications
9.5K citations

Lawrence Livermore National Laboratory
Livermore, United States
25 h-index
116 publications
9.5K citations
IBM (United States)
Armonk, United States
24 h-index
179 publications
8.8K citations
University of Illinois Urbana-Champaign
Urbana, United States
22 h-index
81 publications
8.8K citations
University of Tennessee at Knoxville
Knoxville, United States
22 h-index
65 publications
6.4K citations
Los Alamos National Laboratory
Los Alamos, United States
21 h-index
97 publications
5K citations
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22 publications · 851 citations
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12 publications · 1.3K citations
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13 publications · 850 citations
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12 publications · 359 citations
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14 publications · 427 citations
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