Execution Time Analysis
Execution Time Analysis is a methodological framework within parallel performance analysis that quantifies the temporal behavior of parallel programs by measuring and evaluating the duration of their execution across different computational resources, distinguished by its focus on identifying performance bottlenecks and efficiency losses specific to parallelized task execution.
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2017–2026
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Chi-Keung Luk, Robert Cohn, Robert Muth et al. · ACM SIGPLAN Notices · 2005 · 3.2K citations
Bounds on Multiprocessing Timing Anomalies
Ron Graham · SIAM Journal on Applied Mathematics · 1969 · 2.4K citations
Chi-Keung Luk, Robert Cohn, Robert Muth et al. · 2005 · 2.3K citations
Byung-Gon Chun, Sunghwan Ihm, Petros Maniatis et al. · 2011 · 1.9K citations
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University of Illinois Urbana-Champaign
Urbana, United States
39 h-index
211 publications
11.7K citations
Carnegie Mellon University
Pittsburgh, United States
35 h-index
134 publications
9.1K citations
University of Wisconsin–Madison
Madison, United States
32 h-index
105 publications
7.4K citations
IBM (United States)
Armonk, United States
29 h-index
96 publications
7.4K citations
University of California, Berkeley
Berkeley, United States
29 h-index
112 publications
16.9K citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
26 h-index
77 publications
3.8K citations
Stanford University
Stanford, United States
26 h-index
93 publications
8K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
26 h-index
108 publications
3.9K citations
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TPDS · 85 publications · 4.4K citations
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87 publications · 5K citations
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49 publications · 5.4K citations
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61 publications · 1.8K citations
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Repository · 47 publications · 2.5K citations
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