Task Pipelining is a parallel computing strategy that organizes sequential computational tasks into a流水-style processing pipeline, where each task is executed by a dedicated processing stage and concurrently overlaps with other tasks to improve throughput and resource utilization in distributed or multi-core execution environments.
37
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2.8K
Citations
103
Authors
47
Institutions
Publications per year
2017–2026
5
Parents
Publications
37
Monica S. Lam · ACM SIGPLAN Notices · 2004 · 890 citations
Stavros Harizopoulos, Vladislav Shkapenyuk, Anastassia Ailamaki · 2005 · 176 citations · Full text
Task Superscalar: An Out-of-Order Task Pipeline
Yoav Etsion, Felipe Cabarcas, Alejandro Rico et al. · 2010 · 115 citations · Full text
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Authors
103
- WT
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- SA
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- MI
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- LC
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- TC
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1–5 of 103
Institutions
47
University of California, Los Angeles
Los Angeles, United States
5 h-index
14 publications
500 citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
12 publications
2K citations
National Taiwan University
Taipei, Taiwan
3 h-index
12 publications
558 citations
Technische Universität Braunschweig
Braunschweig, Germany
2 h-index
4 publications
58 citations
Barcelona Supercomputing Center
Barcelona, Spain
2 h-index
14 publications
998 citations
University of Aizu
Fukushima, Japan
2 h-index
3 publications
58 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
2 h-index
14 publications
998 citations
Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
4 publications
82 citations
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Venues
- ACM SIGPLAN Notices
2 publications · 916 citations
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- ACM SIGOPS Operating Systems Review
2 publications · 79 citations
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- IEEE Transactions on Wireless Communications
1 publications · 46 citations
1
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- Journal of Parallel and Distributed Computing
1 publications · 59 citations
1
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- Journal of Computational Physics
1 publications · 15 citations
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