Accelerating Distributed MoE Training and Inference with Lina

Accelerating Distributed MoE Training and Inference with Lina

31 October 2022

Papers citing "Accelerating Distributed MoE Training and Inference with Lina"

16 / 16 papers shown

Title
MoE-CAP: Benchmarking Cost, Accuracy and Performance of Sparse Mixture-of-Experts Systems Yinsicheng Jiang Yao Fu Yeqi Huang Ping Nie Zhan Lu ... Dayou Du Tairan Xu Kai Zou Edoardo Ponti Luo Mai MoE 12 0 0 16 May 2025
Phantora: Live GPU Cluster Simulation for Machine Learning System Performance Estimation Jianxing Qin Jingrong Chen Xinhao Kong Yongji Wu Liang Luo Zhilin Wang Ying Zhang Tingjun Chen Alvin R. Lebeck Danyang Zhuo 128 0 0 02 May 2025
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
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
Taming the Titans: A Survey of Efficient LLM Inference Serving Ranran Zhen J. Li Yixin Ji Z. Yang Tong Liu Qingrong Xia Xinyu Duan Z. Wang Baoxing Huai M. Zhang LLMAG 77 0 0 28 Apr 2025
Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization Minsu Kim Seongmin Hong RyeoWook Ko S. Choi Hunjong Lee Junsoo Kim J. Kim Jongse Park 57 0 0 24 Mar 2025
eMoE: Task-aware Memory Efficient Mixture-of-Experts-Based (MoE) Model Inference Suraiya Tairin Shohaib Mahmud Haiying Shen Anand Iyer MoE 158 0 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 137 0 0 06 Mar 2025
Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline Zhiyuan Fang Yuegui Huang Zicong Hong Yufeng Lyu Wuhui Chen Yue Yu Fan Yu Zibin Zheng MoE 48 0 0 09 Feb 2025
Importance Sampling via Score-based Generative Models Heasung Kim Taekyun Lee Hyeji Kim Gustavo de Veciana MedIm DiffM 136 0 0 07 Feb 2025
LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale Jaehong Cho Minsu Kim Hyunmin Choi Guseul Heo Jongse Park 38 9 0 10 Aug 2024
Mixture-of-Experts with Expert Choice Routing Yan-Quan Zhou Tao Lei Han-Chu Liu Nan Du Yanping Huang Vincent Zhao Andrew M. Dai Zhifeng Chen Quoc V. Le James Laudon MoE 160 327 0 18 Feb 2022
Efficient Direct-Connect Topologies for Collective Communications Liangyu Zhao Siddharth Pal Tapan Chugh Weiyang Wang Jason Fantl P. Basu J. Khoury Arvind Krishnamurthy 22 6 0 07 Feb 2022
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 177 414 0 18 Jan 2021
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 243 4,469 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 245 1,821 0 17 Sep 2019