An Analysis of Collocation on GPUs for Deep Learning Training

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An Analysis of Collocation on GPUs for Deep Learning Training

13 September 2022

Ehsan Yousefzadeh-Asl-Miandoab

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Papers citing "An Analysis of Collocation on GPUs for Deep Learning Training"

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Title
EfficientNetV2: Smaller Models and Faster Training Mingxing Tan Quoc V. Le EgoV 122 2,714 0 01 Apr 2021
Going deeper with Image Transformers Hugo Touvron Matthieu Cord Alexandre Sablayrolles Gabriel Synnaeve Hervé Jégou ViT 160 1,021 0 31 Mar 2021
Horizontally Fused Training Array: An Effective Hardware Utilization Squeezer for Training Novel Deep Learning Models Shang Wang Peiming Yang Yuxuan Zheng Xuelong Li Gennady Pekhimenko 41 22 0 03 Feb 2021
A survey on Semi-, Self- and Unsupervised Learning for Image Classification Lars Schmarje M. Santarossa Simon-Martin Schroder Reinhard Koch SSL VLM 69 165 0 20 Feb 2020
Deep Learning Recommendation Model for Personalization and Recommendation Systems Maxim Naumov Dheevatsa Mudigere Hao-Jun Michael Shi Jianyu Huang Narayanan Sundaraman ... Wenlin Chen Vijay Rao Bill Jia Liang Xiong M. Smelyanskiy 91 733 0 31 May 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 65 352 0 17 Jan 2019
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets P. Chrabaszcz I. Loshchilov Frank Hutter SSeg OOD 163 649 0 27 Jul 2017
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,192 0 16 Mar 2016