Pipeline Mapping
Pipeline Mapping is a methodological framework within distributed deep learning that orchestrates the assignment of sequential layers of a neural network to distinct computational devices in a pipeline structure, thereby enabling efficient parallel execution during model training.
29
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1.4K
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122
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Institutions
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2017–2026
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Do Switches Dream of Machine Learning?
Zhaoqi Xiong, Noa Zilberman · 2019 · 169 citations
Mapping applications to the RaPiD configurable architecture
Carl Ebeling, D.C. Cronquist, Paul Franklin et al. · 2002 · 100 citations
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University of Science and Technology of China
Hefei, China
4 h-index
15 publications
802 citations
Tsinghua University
Beijing, China
3 h-index
14 publications
778 citations
University of Southern California
Los Angeles, United States
3 h-index
6 publications
600 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
6 publications
110 citations
Shenyang University of Technology
Shenyang, China
1 h-index
3 publications
45 citations
Shenyang Institute of Automation
Shenyang, China
1 h-index
5 publications
75 citations
University of Washington
Seattle, United States
1 h-index
5 publications
500 citations
Xilinx (Ireland)
Dublin, Ireland
1 h-index
4 publications
176 citations
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3 publications · 102 citations
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3 publications · 161 citations
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1 publications · 18 citations
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1 publications · 27 citations
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1 publications · 11 citations
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