Differentiate Quality of Experience Scheduling for Deep Learning
Inferences with Docker Containers in the Cloud

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Differentiate Quality of Experience Scheduling for Deep Learning Inferences with Docker Containers in the Cloud

24 October 2020

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Papers citing "Differentiate Quality of Experience Scheduling for Deep Learning Inferences with Docker Containers in the Cloud"

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Title
Going deeper with Image Transformers Hugo Touvron Matthieu Cord Alexandre Sablayrolles Gabriel Synnaeve Hervé Jégou ViT 160 1,021 0 31 Mar 2021
Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster Ying Mao Yuqi Fu Wenjia Zheng Long Cheng Qingzhi Liu Dingwen Tao 55 30 0 21 Oct 2020
FIRM: An Intelligent Fine-Grained Resource Management Framework for SLO-Oriented Microservices Haoran Qiu Subho Sankar Banerjee Saurabh Jha Zbigniew T. Kalbarczyk Ravishankar Iyer 35 259 0 19 Aug 2020
Serving DNNs like Clockwork: Performance Predictability from the Bottom Up A. Gujarati Reza Karimi Safya Alzayat Wei Hao Antoine Kaufmann Ymir Vigfusson Jonathan Mace 88 281 0 03 Jun 2020
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 312 2,392 0 11 Nov 2019
DRAPS: Dynamic and Resource-Aware Placement Scheme for Docker Containers in a Heterogeneous Cluster Ying Mao J. Oak A. Pompili D. Beer T. Han Peizhao Hu 28 73 0 22 May 2018
High-Dimensional Estimation, Basis Assets, and the Adaptive Multi-Factor Model Liao Zhu Sumanta Basu R. Jarrow M. Wells 61 23 0 23 Apr 2018
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta VLM 198 2,406 0 10 Jul 2017