Bottleneck Identification
Bottleneck Identification is a performance analysis technique that systematically locates the specific component or process restricting overall system throughput within a computational or operational workflow.
237
Publications
10.4K
Citations
672
Authors
242
Institutions
Publications per year
2017–2026
56
237
Hailong Yang, Alex D. Breslow, Jason Mars et al. · 2013 · 347 citations
Making sense of performance in data analytics frameworks
Kay Ousterhout, Ryan Rasti, Sylvia Ratnasamy et al. · Networked Systems Design and Implementation · 2015 · 332 citations
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242
University of Michigan
Ann Arbor, United States
19 h-index
42 publications
2.9K citations
Chalmers University of Technology
Gothenburg, Sweden
9 h-index
31 publications
1.3K citations
University of Wisconsin–Madison
Madison, United States
8 h-index
14 publications
560 citations
General Motors (United States)
Detroit, United States
7 h-index
13 publications
893 citations

Portland State University
Portland, United States
6 h-index
10 publications
232 citations

Technische Universität Darmstadt
Darmstadt, Germany
6 h-index
7 publications
181 citations
Toyota Central Research and Development Laboratories (Japan)
Nagakute-shi, Japan
5 h-index
15 publications
993 citations

Karlsruhe University of Applied Sciences
Karlsruhe, Germany
5 h-index
5 publications
175 citations
1–8 of 242
8 publications · 503 citations
8
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6 publications · 354 citations
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6 publications · 172 citations
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TRR · 5 publications · 213 citations
5
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MPE · 4 publications · 377 citations
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