Parallel Runtime Analysis
Parallel Runtime Analysis is a systematic method for evaluating the execution behavior and performance characteristics of parallel programs by measuring time-bound computational events, resource utilization, and synchronization overheads across concurrent processing units.
123
Publications
4.2K
Citations
334
Authors
136
Institutions
Publications per year
2017–2026
20
123
Calculating stack distances efficiently
George Almási, Călin Caşcaval, David Padua · ACM SIGPLAN Notices · 2002 · 92 citations
Scheduling irregular parallel computations on hierarchical caches
Guy E. Blelloch, Jeremy T. Fineman, Phillip B. Gibbons et al. · 2011 · 89 citations
1–5 of 123
334
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Lawrence Livermore National Laboratory, United States
4 publications · 120 citations
4
h-index
4
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1–5 of 334
136

Lawrence Livermore National Laboratory
Livermore, United States
8 h-index
14 publications
450 citations
University of Illinois Urbana-Champaign
Urbana, United States
8 h-index
28 publications
1.7K citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
8 publications
279 citations
Intel (United States)
Santa Clara, United States
5 h-index
13 publications
367 citations
RWTH Aachen University
Aachen, Germany
5 h-index
13 publications
1.2K citations
École Polytechnique
Palaiseau, France
4 h-index
5 publications
205 citations
Forschungszentrum Jülich
Jülich, Germany
4 h-index
18 publications
2K citations
German Research School for Simulation Sciences
Jülich, Germany
4 h-index
5 publications
492 citations
1–8 of 136
6 publications · 237 citations
6
h-index
4 publications · 95 citations
4
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TPDS · 4 publications · 179 citations
4
h-index
Repository · 3 publications · 66 citations
3
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3 publications · 391 citations
3
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1–5