TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs

1 February 2022

Papers citing "TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs"

5 / 5 papers shown

Title
Towards Easy and Realistic Network Infrastructure Testing for Large-scale Machine Learning Jinsun Yoo ChonLam Lao Lianjie Cao Bob Lantz Minlan Yu Tushar Krishna Puneet Sharma 52 0 0 29 Apr 2025
MOPAR: A Model Partitioning Framework for Deep Learning Inference Services on Serverless Platforms Jiaang Duan Shiyou Qian Dingyu Yang Hanwen Hu Jian Cao Guangtao Xue MoE 37 1 0 03 Apr 2024
Efficient All-to-All Collective Communication Schedules for Direct-Connect Topologies P. Basu Liangyu Zhao Jason Fantl Siddharth Pal Arvind Krishnamurthy J. Khoury 30 7 0 24 Sep 2023
Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems Maxim Naumov John Kim Dheevatsa Mudigere Srinivas Sridharan Xiaodong Wang ... Krishnakumar Nair Isabel Gao Bor-Yiing Su Jiyan Yang M. Smelyanskiy GNN 41 83 0 20 Mar 2020
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 1,821 0 17 Sep 2019