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

15 August 2020

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

6 / 6 papers shown

Title
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 52 0 0 16 Feb 2025
Guided Optimization for Image Processing Pipelines Yuka Ikarashi Jonathan Ragan-Kelley Tsukasa Fukusato Jun Kato Takeo Igarashi 16 9 0 27 Jul 2021
A Runtime-Based Computational Performance Predictor for Deep Neural Network Training Geoffrey X. Yu Yubo Gao P. Golikov Gennady Pekhimenko 3DH 30 67 0 31 Jan 2021
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 309 10,233 0 16 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhiwen Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 718 6,748 0 26 Sep 2016
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 310 2,892 0 15 Sep 2016