Daydream: Accurately Estimating the Efficacy of Optimizations for DNN Training

5 June 2020

Papers citing "Daydream: Accurately Estimating the Efficacy of Optimizations for DNN Training"

5 / 5 papers shown

Title
Phantora: Live GPU Cluster Simulation for Machine Learning System Performance Estimation Jianxing Qin Jingrong Chen Xinhao Kong Yongji Wu Liang Luo Z. Wang Ying Zhang Tingjun Chen Alvin R. Lebeck Danyang Zhuo 98 0 0 02 May 2025
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 39 2 0 24 Mar 2024
The Framework Tax: Disparities Between Inference Efficiency in NLP Research and Deployment Jared Fernandez Jacob Kahn Clara Na Yonatan Bisk Emma Strubell FedML 25 10 0 13 Feb 2023
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs Zhongyi Lin Louis Feng E. K. Ardestani Jaewon Lee J. Lundell Changkyu Kim A. Kejariwal John Douglas Owens 22 19 0 19 Jan 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 6,740 0 26 Sep 2016