Heterogeneity-aware Scheduling
Heterogeneity-Aware Scheduling is a task scheduling methodology that explicitly accounts for the diverse computational capabilities, resource configurations, and performance characteristics of heterogeneous processing units to optimize workload distribution and execution efficiency.
211
Publications
12K
Citations
642
Authors
300
Institutions
Publications per year
2017–2026
68
Parents
211
Heterogeneity and dynamicity of clouds at scale
Charles Reiss, Alexey Tumanov, Gregory R. Ganger et al. · 2012 · 1K citations
Heuristics for scheduling parameter sweep applications in grid environments
Henri Casanova, Arnaud Legrand, Dmitrii Zagorodnov et al. · 2002 · 570 citations · Full text
Task execution time modeling for heterogeneous computing systems
Shoukat Ali, Howard Jay Siegel, Muthucumaru Maheswaran et al. · 2002 · 226 citations
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McMaster University
Hamilton, Canada
6 h-index
10 publications
276 citations
University of California San Diego
San Diego, United States
5 h-index
12 publications
2.4K citations
Virginia Tech
Blacksburg, United States
5 h-index
13 publications
269 citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
10 publications
503 citations

Hunan University
Changsha, China
5 h-index
21 publications
1.3K citations
Tongji University
Shanghai, China
5 h-index
6 publications
240 citations
Purdue University West Lafayette
West Lafayette, United States
5 h-index
16 publications
3.1K citations
Indian Institute of Technology Dhanbad
Dhanbad, India
4 h-index
6 publications
406 citations
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13 publications · 970 citations
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10 publications · 469 citations
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FGCS · 9 publications · 487 citations
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TPDS · 9 publications · 612 citations
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5 publications · 377 citations
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