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Understanding Performance Problems in Deep Learning Systems

Understanding Performance Problems in Deep Learning Systems

3 December 2021
Junming Cao
Bihuan Chen
Chao Sun
Longjie Hu
Shuai Wu
Xin Peng
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Papers citing "Understanding Performance Problems in Deep Learning Systems"

5 / 5 papers shown
Title
The Impact of Hyperparameters on Large Language Model Inference
  Performance: An Evaluation of vLLM and HuggingFace Pipelines
The Impact of Hyperparameters on Large Language Model Inference Performance: An Evaluation of vLLM and HuggingFace Pipelines
Agathe Balayn
40
2
0
02 Aug 2024
Bug Characterization in Machine Learning-based Systems
Bug Characterization in Machine Learning-based Systems
Mohammad Mehdi Morovati
Amin Nikanjam
Florian Tambon
Foutse Khomh
Zhen Ming
Z. Jiang
11
20
0
26 Jul 2023
Understanding Bugs in Multi-Language Deep Learning Frameworks
Understanding Bugs in Multi-Language Deep Learning Frameworks
Zengyang Li
Sicheng Wang
Wenshuo Wang
Peng Liang
Ran Mo
Bing Li
18
4
0
05 Mar 2023
CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable
  Robots
CaRE: Finding Root Causes of Configuration Issues in Highly-Configurable Robots
Md. Abir Hossen
Sonam Kharade
B. Schmerl
Javier Cámara
Jason M. O'Kane
E. Czaplinski
K. Dzurilla
David Garlan
Pooyan Jamshidi
18
9
0
18 Jan 2023
An Empirical Study on Deployment Faults of Deep Learning Based Mobile
  Applications
An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications
Zhenpeng Chen
Huihan Yao
Yiling Lou
Yanbin Cao
Yuanqiang Liu
Haoyu Wang
Xuanzhe Liu
35
79
0
13 Jan 2021
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