Pipeline Latency Optimization
Pipeline Latency Optimization is a methodological framework within distributed deep learning that minimizes the time delay in propagating activations and gradients across pipeline stages by strategically overlapping computation and communication while balancing stage workloads to reduce idle periods.
77
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5.4K
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320
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101
Institutions
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2017–2026
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Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Dario Amodei, Rishita Anubhai, Eric Battenberg et al. · arXiv (Cornell University) · 2015 · 2.2K citations · Full text
Xiaofan Zhang, Junsong Wang, Chao Zhu et al. · 2018 · 341 citations
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University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
18 publications
1.4K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
4 h-index
10 publications
265 citations

Shanghai Jiao Tong University
Shanghai, China
3 h-index
10 publications
326 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
3 h-index
5 publications
254 citations
IBM (United States)
Armonk, United States
3 h-index
5 publications
134 citations
California Southern University
Chandler, United States
2 h-index
6 publications
204 citations

Pennsylvania State University
State College, United States
2 h-index
4 publications
74 citations
Université de Rennes
Rennes, France
2 h-index
2 publications
61 citations
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Repository · 6 publications · 2.7K citations
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TMCCI · 3 publications · 84 citations
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2 publications · 208 citations
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