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Skyline: Interactive In-Editor Computational Performance Profiling for
  Deep Neural Network Training

Skyline: Interactive In-Editor Computational Performance Profiling for Deep Neural Network Training

15 August 2020
Geoffrey X. Yu
Tovi Grossman
Gennady Pekhimenko
ArXivPDFHTML

Papers citing "Skyline: Interactive In-Editor Computational Performance Profiling for Deep Neural Network Training"

5 / 5 papers shown
Title
HawkEye: Statically and Accurately Profiling the Communication Cost of Models in Multi-party Learning
HawkEye: Statically and Accurately Profiling the Communication Cost of Models in Multi-party Learning
Wenqiang Ruan
Xin Lin
Ruisheng Zhou
Guopeng Lin
Shui Yu
Weili Han
37
0
0
16 Feb 2025
Guided Optimization for Image Processing Pipelines
Guided Optimization for Image Processing Pipelines
Yuka Ikarashi
Jonathan Ragan-Kelley
Tsukasa Fukusato
Jun Kato
Takeo Igarashi
12
9
0
27 Jul 2021
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,220
0
16 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
281
2,889
0
15 Sep 2016
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