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PROFET: Profiling-based CNN Training Latency Prophet for GPU Cloud Instances

10 August 2022

Papers citing "PROFET: Profiling-based CNN Training Latency Prophet for GPU Cloud Instances"

31 / 31 papers shown

Title
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances Baolin Li Rohan Basu Roy Tirthak Patel V. Gadepally K. Gettings Devesh Tiwari 55 25 0 23 Jul 2022
Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters Qi Hu Peng Sun Shengen Yan Yonggang Wen Tianwei Zhang 3DH GNN 82 133 0 03 Sep 2021
An Oracle for Guiding Large-Scale Model/Hybrid Parallel Training of Convolutional Neural Networks A. Kahira Truong Thao Nguyen L. Bautista-Gomez Ryousei Takano Rosa M. Badia Mohamed Wahib 52 11 0 19 Apr 2021
A Runtime-Based Computational Performance Predictor for Deep Neural Network Training Geoffrey X. Yu Yubo Gao P. Golikov Gennady Pekhimenko 3DH 69 68 0 31 Jan 2021
Toward Accurate Platform-Aware Performance Modeling for Deep Neural Networks Chuan-Chi Wang Ying-Chiao Liao Ming-Chang Kao Wen-Yew Liang Shih-Hao Hung 24 11 0 01 Dec 2020
Predicting Training Time Without Training Luca Zancato Alessandro Achille Avinash Ravichandran Rahul Bhotika Stefano Soatto 137 24 0 28 Aug 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 568 42,677 0 03 Dec 2019
Characterizing Deep Learning Training Workloads on Alibaba-PAI Mengdi Wang Chen Meng Guoping Long Chuan Wu Jun Yang Wei Lin Yangqing Jia 65 55 0 14 Oct 2019
Once-for-All: Train One Network and Specialize it for Efficient Deployment Han Cai Chuang Gan Tianzhe Wang Zhekai Zhang Song Han OOD 126 1,283 0 26 Aug 2019
Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads Myeongjae Jeon Shivaram Venkataraman Amar Phanishayee Junjie Qian Wencong Xiao Fan Yang GNN 74 353 0 17 Jan 2019
Serverless Computing: One Step Forward, Two Steps Back J. M. Hellerstein Jose M. Faleiro Joseph E. Gonzalez Johann Schleier-Smith Vikram Sreekanti Alexey Tumanov Chenggang Wu 57 392 0 10 Dec 2018
Predicting the Computational Cost of Deep Learning Models Daniel Justus John Brennan Stephen Bonner A. Mcgough 46 230 0 28 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,324 0 11 Oct 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 218 19,353 0 13 Jan 2018
NeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks E. Cai Da-Cheng Juan Dimitrios Stamoulis Diana Marculescu 51 132 0 15 Oct 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 808 132,725 0 12 Jun 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit N. Jouppi C. Young Nishant Patil David Patterson Gaurav Agrawal ... Vijay Vasudevan Richard Walter Walter Wang Eric Wilcox Doe Hyun Yoon 239 4,644 0 16 Apr 2017
Speed/accuracy trade-offs for modern convolutional object detectors Jonathan Huang V. Rathod Chen Sun Menglong Zhu Anoop Korattikara Balan ... Ian S. Fischer Z. Wojna Yang Song S. Guadarrama Kevin Patrick Murphy 3DH 3DV 108 2,573 0 30 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 487 5,385 0 05 Nov 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 435 18,361 0 27 May 2016
Theano: A Python framework for fast computation of mathematical expressions The Theano Development Team Rami Al-Rfou Guillaume Alain Amjad Almahairi Christof Angermüller ... Kelvin Xu Lijun Xue Li Yao Saizheng Zhang Ying Zhang 208 2,340 0 09 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang 200 2,248 0 03 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,427 0 02 Dec 2015
Empirical Evaluation of Rectified Activations in Convolutional Network Bing Xu Naiyan Wang Tianqi Chen Mu Li 144 2,916 0 05 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 496 43,717 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,575 0 04 Sep 2014
Return of the Devil in the Details: Delving Deep into Convolutional Nets Ken Chatfield Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 226 3,420 0 14 May 2014
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 250 16,405 0 30 Apr 2014
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 382 7,981 0 13 Jun 2012