A Runtime-Based Computational Performance Predictor for Deep Neural Network Training

31 January 2021

Papers citing "A Runtime-Based Computational Performance Predictor for Deep Neural Network Training"

7 / 7 papers shown

Title
A Codesign of Scheduling and Parallelization for Large Model Training in Heterogeneous Clusters Chunyu Xue Weihao Cui Han Zhao Quan Chen Shulai Zhang Peng Yang Jing Yang Shaobo Li Minyi Guo 45 2 0 24 Mar 2024
Decoding Speculative Decoding Minghao Yan Saurabh Agarwal Shivaram Venkataraman LRM 32 5 0 02 Feb 2024
Towards providing reliable job completion time predictions using PCS Abdullah Bin Faisal Noah Martin Hafiz Mohsin Bashir Swaminathan Lamelas Fahad R. Dogar 22 0 0 18 Jan 2024
Moirai: Towards Optimal Placement for Distributed Inference on Heterogeneous Devices Beibei Zhang Hongwei Zhu Feng Gao Zhihui Yang Xiaoyang Sean Wang 29 1 0 07 Dec 2023
Mobile Foundation Model as Firmware Jinliang Yuan Chenchen Yang Dongqi Cai Shihe Wang Xin Yuan ... Di Zhang Hanzi Mei Xianqing Jia Shangguang Wang Mengwei Xu 40 19 0 28 Aug 2023
DNNAbacus: Toward Accurate Computational Cost Prediction for Deep Neural Networks Lu Bai Weixing Ji Qinyuan Li Xi Yao Wei Xin Wanyi Zhu 15 6 0 24 May 2022
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