Maximizing Parallelism in Distributed Training for Huge Neural Networks

Maximizing Parallelism in Distributed Training for Huge Neural Networks

30 May 2021

Yang You

Papers citing "Maximizing Parallelism in Distributed Training for Huge Neural Networks"

9 / 9 papers shown

Title
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review Li Shen Yan Sun Zhiyuan Yu Liang Ding Xinmei Tian Dacheng Tao VLM 35 41 0 07 Apr 2023
Colossal-Auto: Unified Automation of Parallelization and Activation Checkpoint for Large-scale Models Yuliang Liu Shenggui Li Jiarui Fang Yan Shao Boyuan Yao Yang You OffRL 27 7 0 06 Feb 2023
TAPS: Topology-Aware Intra-Operator Parallelism Strategy Searching Algorithm for Deep Neural Networks Peng Liang Hao Zheng Teng Su Linbo Qiao Dongsheng Li 30 0 0 11 Jan 2023
Merak: An Efficient Distributed DNN Training Framework with Automated 3D Parallelism for Giant Foundation Models Zhiquan Lai Shengwei Li Xudong Tang Ke-shi Ge Weijie Liu Yabo Duan Linbo Qiao Dongsheng Li 35 41 0 10 Jun 2022
FuncPipe: A Pipelined Serverless Framework for Fast and Cost-efficient Training of Deep Learning Models Yunzhuo Liu Bo Jiang Tian Guo Zimeng Huang Wen-ping Ma Xinbing Wang Chenghu Zhou 29 9 0 28 Apr 2022
Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training Yongbin Li Hongxin Liu Zhengda Bian Boxiang Wang Haichen Huang Fan Cui Chuan-Qing Wang Yang You GNN 30 143 0 28 Oct 2021
PatrickStar: Parallel Training of Pre-trained Models via Chunk-based Memory Management Jiarui Fang Zilin Zhu Shenggui Li Hui Su Yang Yu Jie Zhou Yang You VLM 37 24 0 12 Aug 2021
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 245 1,836 0 17 Sep 2019
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 310 2,896 0 15 Sep 2016