Heterogeneous Load Distribution
Heterogeneous Load Distribution is a computational resource allocation strategy that directs workloads across diverse processing units—such as CPUs, GPUs, and specialized accelerators—according to their architectural strengths, thereby optimizing performance and efficiency in kernel offloading environments.
48
Publications
4.5K
Citations
127
Authors
58
Institutions
Publications per year
2017–2026
10
Parents
48
Cascade Control and Defense in Complex Networks
Adilson E. Motter · Physical Review Letters · 2004 · 778 citations · Full text
1–5 of 48
127
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Korea Advanced Institute of Science and Technology, South Korea
1 publications · 11 citations
1
h-index
1–5 of 127
58
SUNY New Paltz
New Paltz, United States
4 h-index
4 publications
103 citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
3 h-index
7 publications
130 citations
National University of Singapore
Singapore, Singapore
2 h-index
4 publications
122 citations
ETH Zurich
Zurich, Switzerland
2 h-index
4 publications
100 citations

Eötvös Loránd University
Budapest, Hungary
2 h-index
4 publications
100 citations
Louisiana State University
Baton Rouge, United States
1 h-index
1 publications
108 citations
Taif University
Ta'if, Saudi Arabia
1 h-index
2 publications
28 citations

Lehigh University
Bethlehem, United States
1 h-index
1 publications
144 citations
1–8 of 58
4 publications · 174 citations
4
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PRL · 2 publications · 864 citations
2
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1 publications · 36 citations
1
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PRE · 1 publications · 50 citations
1
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1 publications · 34 citations
1
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1–5