A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize
Mixture-of-Experts Training

A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training

11 March 2023

Siddharth Singh

Olatunji Ruwase

Samyam Rajbhandari

Yuxiong He

Papers citing "A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training"

14 / 14 papers shown

Title
Accelerating Mixture-of-Experts Training with Adaptive Expert Replication Athinagoras Skiadopoulos Mark Zhao Swapnil Gandhi Thomas Norrie Shrijeet Mukherjee Christos Kozyrakis MoE 91 0 0 28 Apr 2025
MoE Parallel Folding: Heterogeneous Parallelism Mappings for Efficient Large-Scale MoE Model Training with Megatron Core Dennis Liu Zijie Yan Xin Yao Tong Liu V. Korthikanti ... Jiajie Yao Chandler Zhou David Wu Xipeng Li J. Yang MoE 56 0 0 21 Apr 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 118 1 0 10 Mar 2025
Speculative MoE: Communication Efficient Parallel MoE Inference with Speculative Token and Expert Pre-scheduling Yan Li Pengfei Zheng Shuang Chen Zewei Xu Yuanhao Lai Yunfei Du Z. Wang MoE 107 0 0 06 Mar 2025
Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers Siddharth Singh Prajwal Singhania Aditya K. Ranjan John Kirchenbauer Jonas Geiping ... Abhimanyu Hans Manli Shu Aditya Tomar Tom Goldstein A. Bhatele 94 2 0 12 Feb 2025
Importance Sampling via Score-based Generative Models Heasung Kim Taekyun Lee Hyeji Kim Gustavo de Veciana MedIm DiffM 129 1 0 07 Feb 2025
iServe: An Intent-based Serving System for LLMs Dimitrios Liakopoulos Tianrui Hu Prasoon Sinha N. Yadwadkar VLM 122 0 0 08 Jan 2025
EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference Yulei Qian Fengcun Li Xiangyang Ji Xiaoyu Zhao Jianchao Tan K. Zhang Xunliang Cai MoE 68 3 0 16 Oct 2024
Tutel: Adaptive Mixture-of-Experts at Scale Changho Hwang Wei Cui Yifan Xiong Ziyue Yang Ze Liu ... Joe Chau Peng Cheng Fan Yang Mao Yang Y. Xiong MoE 92 109 0 07 Jun 2022
Scalable and Efficient MoE Training for Multitask Multilingual Models Young Jin Kim A. A. Awan Alexandre Muzio Andres Felipe Cruz Salinas Liyang Lu Amr Hendy Samyam Rajbhandari Yuxiong He Hany Awadalla MoE 94 84 0 22 Sep 2021
ZeRO-Offload: Democratizing Billion-Scale Model Training Jie Ren Samyam Rajbhandari Reza Yazdani Aminabadi Olatunji Ruwase Shuangyang Yang Minjia Zhang Dong Li Yuxiong He MoE 160 413 0 18 Jan 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 248 1,986 0 31 Dec 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 226 4,453 0 23 Jan 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 243 1,817 0 17 Sep 2019