Pipeline Batching
Pipeline Batching is a computational optimization technique in graphics and machine learning systems that groups sequential operations into unified execution units to minimize pipeline stalls and maximize throughput by reducing per-task overhead and improving resource utilization across processing stages.
4
Publications
370
Citations
24
Authors
12
Institutions
Publications per year
2017–2026
2
Parents
4
FlatStore: An Efficient Log-Structured Key-Value Storage Engine for Persistent Memory
Youmin Chen, Youyou Lu, Fan Yang et al. · 2020 · 160 citations
Scalable and cost-effective NGS genotyping in the cloud
Yassine Souilmi, Alex K. Lancaster, Jae-Yoon Jung et al. · BMC Medical Genomics · 2015 · 25 citations · Full text
Life Sciences, Bioinformatics, High-performance Computing +16
Helton Luis Polli, Leandro Magatão, Suelen N. B. Magatão et al. · Industrial & Engineering Chemistry Research · 2017 · 21 citations
Management, Chemical Engineering, Industrial Engineering +16
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1–5 of 24
12
Boston University
Boston, United States
1 h-index
6 publications
150 citations
Harvard University
Cambridge, United States
1 h-index
6 publications
150 citations
The Ohio State University
Columbus, United States
1 h-index
1 publications
160 citations
Tsinghua University
Beijing, China
1 h-index
5 publications
800 citations
Stanford University
Stanford, United States
1 h-index
1 publications
25 citations

University of Central Florida
Orlando, United States
1 h-index
3 publications
492 citations
Universidade Tecnológica Federal do Paraná
Curitiba, Brazil
1 h-index
3 publications
63 citations

Mohammed V University
Rabat, Morocco
1 h-index
2 publications
50 citations
1–8 of 12
1 publications · 25 citations
1
h-index
1 publications · 21 citations
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1–2