Cache-aware Scheduling
Cache-Aware Scheduling is a scheduling strategy that belongs to the class of real-time scheduling algorithms and specifically incorporates cache behavior and memory access patterns into the scheduling decisions to minimize cache-related delays and improve predictability in deadline-constrained systems.
80
Publications
3.6K
Citations
222
Authors
95
Institutions
Publications per year
2017–2026
19
80
1–5 of 80
222
University of North Carolina at Chapel Hill, United States
6 publications · 376 citations
6
h-index
University of North Carolina at Chapel Hill, United States
5 publications · 364 citations
5
h-index
4
h-index
3
h-index
3
h-index
1–5 of 222
95

University of York
York, United Kingdom
7 h-index
11 publications
398 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
6 h-index
12 publications
877 citations
Universitat Politècnica de València
Valencia, Spain
4 h-index
15 publications
1K citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
11 publications
614 citations

Pennsylvania State University
State College, United States
4 h-index
12 publications
184 citations

Oak Ridge National Laboratory
Oak Ridge, United States
3 h-index
4 publications
488 citations

University of British Columbia
Vancouver, Canada
3 h-index
6 publications
170 citations
University of Tennessee at Knoxville
Knoxville, United States
3 h-index
14 publications
2K citations
1–8 of 95
TPDS · 3 publications · 217 citations
3
h-index
TECS · 2 publications · 46 citations
2
h-index
2 publications · 25 citations
2
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2 publications · 30 citations
2
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2 publications · 187 citations
2
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1–5