Collective Communication Optimization
Collective Communication Optimization is a systematic approach within cloud data center networking that enhances the efficiency of collective communication operations by minimizing latency and maximizing resource utilization through algorithmic and architectural refinements.
62
Publications
3.9K
Citations
178
Authors
78
Institutions
Publications per year
2017–2026
8
62
Performance analysis of MPI collective operations
Jelena Pješivac–Grbović, Thara Angskun, George Bosilca et al. · Cluster Computing · 2007 · 193 citations
Optimization of MPI collective communication on BlueGene/L systems
George Almási, Philip Heidelberger, Charles J Archer et al. · 2005 · 159 citations
Automatically Tuned Collective Communications
Sathish Vadhiyar, Graham E. Fagg, Jack Dongarra · 2000 · 148 citations
1–5 of 62
178
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78
ETH Zurich
Zurich, Switzerland
8 h-index
11 publications
347 citations
The University of Texas at Austin
Austin, United States
6 h-index
16 publications
1.7K citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
7 publications
289 citations
Intel (United States)
Santa Clara, United States
5 h-index
10 publications
470 citations
Argonne National Laboratory
Lemont, United States
5 h-index
9 publications
2.4K citations
Sandia National Laboratories
Albuquerque, United States
4 h-index
9 publications
214 citations
University of Tennessee at Knoxville
Knoxville, United States
4 h-index
17 publications
2K citations
Indiana University Bloomington
Bloomington, United States
4 h-index
9 publications
230 citations
1–8 of 78
3 publications · 966 citations
3
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2 publications · 27 citations
2
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2 publications · 254 citations
2
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2 publications · 114 citations
2
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2 publications · 133 citations
2
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1–5