Application Profiling
Application Profiling is a systematic analysis method that identifies and quantifies the computational, memory, and execution characteristics of software applications to evaluate cost-performance tradeoffs and detect performance bottlenecks within a given computing environment.
228
Publications
10K
Citations
632
Authors
190
Institutions
Publications per year
2017–2026
41
228
Hailong Yang, Alex D. Breslow, Jason Mars et al. · 2013 · 347 citations
Saša Misailovíc, Stelios Sidiroglou, Henry Hoffmann et al. · 2010 · 223 citations · Full text
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190
Università della Svizzera italiana
Lugano, Switzerland
10 h-index
23 publications
377 citations
Argonne National Laboratory
Lemont, United States
7 h-index
31 publications
859 citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
13 publications
842 citations
The University of Texas at Austin
Austin, United States
6 h-index
11 publications
531 citations

Rice University
Houston, United States
6 h-index
14 publications
437 citations
William & Mary
Williamsburg, United States
5 h-index
17 publications
751 citations

University of Massachusetts Amherst
Amherst Center, United States
5 h-index
12 publications
1.6K citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
5 h-index
16 publications
570 citations
1–8 of 190
11 publications · 272 citations
10
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4 publications · 156 citations
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4 publications · 88 citations
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3 publications · 384 citations
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2 publications · 39 citations
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