Pipeline Simulation
Pipeline Simulation is a computational modeling technique that belongs to the class of performance prediction methods in distributed computing, specifically characterized by its focus on emulating the behavior and throughput of pipeline-parallel execution stages in deep learning training workflows.
49
Publications
3.1K
Citations
172
Authors
86
Institutions
Publications per year
2017–2026
15
Parents
49
Using SimPoint for accurate and efficient simulation
Erez Perelman, Greg Hamerly, Michael Van Biesbrouck et al. · 2003 · 269 citations
Picking statistically valid and early simulation points
Erez Perelman, Greg Hamerly, Brad Calder · 2003 · 212 citations
Timing analysis for data caches and set-associative caches
Randall T. White, Frank Mueller, Christopher Healy et al. · 2002 · 152 citations
1–5 of 49
172
10
h-index
6
h-index
University of California, Santa Barbara, United States
5 publications · 819 citations
5
h-index
5
h-index
University of California San Diego, United States
3 publications · 392 citations
3
h-index
1–5 of 172
86
University of California San Diego
San Diego, United States
10 h-index
34 publications
4.7K citations

Sharif University of Technology
Tehran, Iran
2 h-index
2 publications
74 citations

China University of Petroleum, Beijing
Beijing, China
2 h-index
8 publications
231 citations
University of Siena
Siena, Italy
2 h-index
5 publications
178 citations
Intel (United Kingdom)
Swindon, United Kingdom
2 h-index
4 publications
238 citations
University of Oxford
Oxford, United Kingdom
2 h-index
7 publications
214 citations

Ghent University
Ghent, Belgium
1 h-index
1 publications
73 citations
Embedded Systems (United States)
Middletown, United States
1 h-index
2 publications
42 citations
1–8 of 86
2 publications · 36 citations
2
h-index
PER · 2 publications · 168 citations
2
h-index
2 publications · 49 citations
2
h-index
PRD · 1 publications · 74 citations
1
h-index
1 publications · 14 citations
1
h-index
1–5