Distributed Reduction Algorithms is a computational method that systematically aggregates data values across multiple processing nodes in a parallel computing environment, distinguished by its orchestration of localized reductions followed by global consolidation to produce a final collective result.
52
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2.6K
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150
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76
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2017–2026
16
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Publications
52
Silvio Lattanzi, Benjamin Moseley, Siddharth Suri et al. · 2011 · 234 citations
MRPR: A MapReduce solution for prototype reduction in big data classification
Isaac Triguero, Daniel Peralta, Jaume Bacardit et al. · Neurocomputing · 2014 · 222 citations · Full text
1–5 of 52
Authors
150
- PH
2
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- MAMohammad Ali Maddah-Ali
University of Southern California, United States
2 publications · 503 citations
2
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- SO
2
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- SL
2
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- QY
2
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1–5 of 150
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76
Google (United States)
Mountain View, United States
2 h-index
2 publications
288 citations
IBM (United States)
Armonk, United States
2 h-index
5 publications
522 citations
University of Southern California
Los Angeles, United States
2 h-index
6 publications
1.5K citations
Universidad de Granada
Granada, Spain
2 h-index
5 publications
712 citations
ETH Zurich
Zurich, Switzerland
2 h-index
2 publications
84 citations
Peking University
Beijing, China
2 h-index
9 publications
397 citations
University of Michigan
Ann Arbor, United States
2 h-index
2 publications
72 citations
Nantong University
Nantong, China
2 h-index
6 publications
204 citations
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- arXiv (Cornell University)
Repository · 4 publications · 358 citations
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- Electronic Notes in Theoretical Computer Science
ENTCS · 2 publications · 43 citations
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- Future Generation Computer Systems
FGCS · 2 publications · 28 citations
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- Neurocomputing
2 publications · 266 citations
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- IEEE Transactions on Signal Processing
2 publications · 100 citations
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