Distributed Reduction Operations
Distributed Reduction Operations is a collective communication pattern in distributed memory parallelism that combines data from multiple processing nodes using an associative operator, where the result is made available on a single designated node, distinguished by its coordination of partial results across physically separated memory spaces to achieve global computation efficiently.
21
Publications
679
Citations
74
Authors
32
Institutions
Publications per year
2017–2026
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The Ohio State University
Columbus, United States
4 h-index
15 publications
372 citations
Mellanox Technologies (United States)
Monterey Park, United States
2 h-index
7 publications
592 citations
The Aerospace Corporation
El Segundo, United States
2 h-index
2 publications
49 citations

Langley Research Center
Hampton, United States
2 h-index
2 publications
49 citations
Williams (United States)
Tulsa, United States
2 h-index
2 publications
49 citations
IBM Research - Almaden
San Jose, United States
2 h-index
3 publications
42 citations
Mellanox Technologies (Israel)
Haifa, Israel
2 h-index
27 publications
1.9K citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
2 h-index
5 publications
72 citations
1–8 of 32
TPDS · 2 publications · 50 citations
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Conference · 1 publications · 37 citations
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1 publications · 13 citations
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Repository · 1 publications · 27 citations
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1 publications · 36 citations
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