Scalability Modeling
Scalability Modeling is a formal analytical framework that characterizes the performance behavior of parallel systems under varying scales of workload or resources by quantifying the relationship between system size and efficiency, distinguishing it from general performance models through its explicit focus on growth-oriented predictability and bottleneck identification.
229
Publications
9.6K
Citations
648
Authors
241
Institutions
Publications per year
2017–2026
51
229
1–5 of 229
648
7
h-index
6
h-index
5
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5
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4
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1–5 of 648
241

Lawrence Livermore National Laboratory
Livermore, United States
7 h-index
26 publications
1.9K citations
Los Alamos National Laboratory
Los Alamos, United States
7 h-index
28 publications
1.6K citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
12 publications
439 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
6 h-index
30 publications
662 citations
Georgia Institute of Technology
Atlanta, United States
6 h-index
16 publications
574 citations
ETH Zurich
Zurich, Switzerland
5 h-index
8 publications
407 citations
University College London
London, United Kingdom
5 h-index
9 publications
273 citations

Oak Ridge National Laboratory
Oak Ridge, United States
4 h-index
6 publications
148 citations
1–8 of 241
TPDS · 8 publications · 678 citations
8
h-index
5 publications · 174 citations
5
h-index
4 publications · 452 citations
4
h-index
3 publications · 223 citations
3
h-index
PER · 2 publications · 120 citations
2
h-index
1–5