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Shortcut-connected Expert Parallelism for Accelerating Mixture-of-Experts

7 April 2024

Papers citing "Shortcut-connected Expert Parallelism for Accelerating Mixture-of-Experts"

50 / 74 papers shown

Title
Advancing Expert Specialization for Better MoE Hongcan Guo Haolang Lu Guoshun Nan Bolun Chu Jialin Zhuang Yuan Yang Wenhao Che Sicong Leng Qimei Cui Xudong Jiang MoE MoMe 60 0 0 28 May 2025
MoETuner: Optimized Mixture of Expert Serving with Balanced Expert Placement and Token Routing Seokjin Go Divya Mahajan MoE 109 0 0 10 Feb 2025
EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference Yulei Qian Fengcun Li Xiangyang Ji Xiaoyu Zhao Jianchao Tan Kai Zhang Xunliang Cai MoE 111 3 0 16 Oct 2024
A Survey on Large Language Models for Code Generation Juyong Jiang Fan Wang Jiasi Shen Sungju Kim Sunghun Kim 117 197 0 01 Jun 2024
MixLoRA: Enhancing Large Language Models Fine-Tuning with LoRA-based Mixture of Experts Dengchun Li Yingzi Ma Naizheng Wang Zhengmao Ye Zhiyuan Cheng ... Yan Zhang Lei Duan Jie Zuo Cal Yang Mingjie Tang MoE 100 58 0 22 Apr 2024
LoongServe: Efficiently Serving Long-context Large Language Models with Elastic Sequence Parallelism Bingya Wu Shengyu Liu Yinmin Zhong Peng Sun Xuanzhe Liu Xin Jin RALM 86 63 0 15 Apr 2024
Jamba: A Hybrid Transformer-Mamba Language Model Opher Lieber Barak Lenz Hofit Bata Gal Cohen Jhonathan Osin ... Nir Ratner N. Rozen Erez Shwartz Mor Zusman Y. Shoham 95 226 0 28 Mar 2024
Higher Layers Need More LoRA Experts Chongyang Gao Kezhen Chen Jinmeng Rao Baochen Sun Ruibo Liu Daiyi Peng Yawen Zhang Xiaoyuan Guo Jie Yang V. Subrahmanian MoE 48 52 0 13 Feb 2024
LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMs Shaoxiang Chen Zequn Jie Lin Ma MoE 133 56 0 29 Jan 2024
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models Fuzhao Xue Zian Zheng Yao Fu Jinjie Ni Zangwei Zheng Wangchunshu Zhou Yang You MoE 84 103 0 29 Jan 2024
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models Damai Dai Chengqi Deng Chenggang Zhao R. X. Xu Huazuo Gao ... Panpan Huang Fuli Luo Chong Ruan Zhifang Sui W. Liang MoE 102 312 0 11 Jan 2024
Mixtral of Experts Albert Q. Jiang Alexandre Sablayrolles Antoine Roux A. Mensch Blanche Savary ... Théophile Gervet Thibaut Lavril Thomas Wang Timothée Lacroix William El Sayed MoE LLMAG 155 1,121 0 08 Jan 2024
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning Yunhao Gou Zhili Liu Kai Chen Lanqing Hong Hang Xu Aoxue Li Dit-Yan Yeung James T. Kwok Yu Zhang MoE MLLM VLM 117 70 0 19 Dec 2023
Splitwise: Efficient generative LLM inference using phase splitting Pratyush Patel Esha Choukse Chaojie Zhang Aashaka Shah Íñigo Goiri Saeed Maleki Ricardo Bianchini 85 244 0 30 Nov 2023
SiDA-MoE: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models Zhixu Du Shiyu Li Yuhao Wu Xiangyu Jiang Jingwei Sun Qilin Zheng Yongkai Wu Ang Li Hai Helen Li Yiran Chen MoE 86 14 0 29 Oct 2023
Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference Ranggi Hwang Jianyu Wei Shijie Cao Changho Hwang Xiaohu Tang Ting Cao Mao Yang MoE 90 44 0 23 Aug 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models Hugo Touvron Louis Martin Kevin R. Stone Peter Albert Amjad Almahairi ... Sharan Narang Aurelien Rodriguez Robert Stojnic Sergey Edunov Thomas Scialom AI4MH ALM 400 12,076 0 18 Jul 2023
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models Deyao Zhu Jun Chen Xiaoqian Shen Xiang Li Mohamed Elhoseiny VLM MLLM 165 2,069 0 20 Apr 2023
PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing Xiaozhe Ren Pingyi Zhou Xinfan Meng Xinjing Huang Yadao Wang ... Jiansheng Wei Xin Jiang Teng Su Qun Liu Jun Yao ALM MoE 124 62 0 20 Mar 2023
GPT-4 Technical Report OpenAI OpenAI OpenAI Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad ... Shengjia Zhao Tianhao Zheng Juntang Zhuang William Zhuk Barret Zoph LLMAG MLLM 1.5K 14,748 0 15 Mar 2023
Scaling Vision-Language Models with Sparse Mixture of Experts Sheng Shen Z. Yao Chunyuan Li Trevor Darrell Kurt Keutzer Yuxiong He VLM MoE 49 67 0 13 Mar 2023
A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training Siddharth Singh Olatunji Ruwase A. A. Awan Samyam Rajbhandari Yuxiong He A. Bhatele MoE 76 33 0 11 Mar 2023
TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training Chang-Qin Chen Min Li Zhihua Wu Dianhai Yu Chao Yang MoE 40 14 0 20 Feb 2023
MegaBlocks: Efficient Sparse Training with Mixture-of-Experts Trevor Gale Deepak Narayanan C. Young Matei A. Zaharia MoE 78 108 0 29 Nov 2022
Emergent Abilities of Large Language Models Jason W. Wei Yi Tay Rishi Bommasani Colin Raffel Barret Zoph ... Tatsunori Hashimoto Oriol Vinyals Percy Liang J. Dean W. Fedus ELM ReLM LRM 288 2,518 0 15 Jun 2022
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 179 121 0 07 Jun 2022
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts Basil Mustafa C. Riquelme J. Puigcerver Rodolphe Jenatton N. Houlsby VLM MoE 165 202 0 06 Jun 2022
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness Tri Dao Daniel Y. Fu Stefano Ermon Atri Rudra Christopher Ré VLM 254 2,285 0 27 May 2022
StableMoE: Stable Routing Strategy for Mixture of Experts Damai Dai Li Dong Shuming Ma Bo Zheng Zhifang Sui Baobao Chang Furu Wei MoE 60 65 0 18 Apr 2022
PaLM: Scaling Language Modeling with Pathways Aakanksha Chowdhery Sharan Narang Jacob Devlin Maarten Bosma Gaurav Mishra ... Kathy Meier-Hellstern Douglas Eck J. Dean Slav Petrov Noah Fiedel PILM LRM 529 6,293 0 05 Apr 2022
HetuMoE: An Efficient Trillion-scale Mixture-of-Expert Distributed Training System Xiaonan Nie Pinxue Zhao Xupeng Miao Tong Zhao Tengjiao Wang MoE 68 36 0 28 Mar 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 886 13,207 0 04 Mar 2022
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 306 369 0 18 Feb 2022
ST-MoE: Designing Stable and Transferable Sparse Expert Models Barret Zoph Irwan Bello Sameer Kumar Nan Du Yanping Huang J. Dean Noam M. Shazeer W. Fedus MoE 192 202 0 17 Feb 2022
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model Shaden Smith M. Patwary Brandon Norick P. LeGresley Samyam Rajbhandari ... Mohammad Shoeybi Yuxiong He Michael Houston Saurabh Tiwary Bryan Catanzaro MoE 155 742 0 28 Jan 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 847 9,683 0 28 Jan 2022
DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale Samyam Rajbhandari Conglong Li Z. Yao Minjia Zhang Reza Yazdani Aminabadi A. A. Awan Jeff Rasley Yuxiong He 112 304 0 14 Jan 2022
Efficient Large Scale Language Modeling with Mixtures of Experts Mikel Artetxe Shruti Bhosale Naman Goyal Todor Mihaylov Myle Ott ... Jeff Wang Luke Zettlemoyer Mona T. Diab Zornitsa Kozareva Ves Stoyanov MoE 206 198 0 20 Dec 2021
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts Nan Du Yanping Huang Andrew M. Dai Simon Tong Dmitry Lepikhin ... Kun Zhang Quoc V. Le Yonghui Wu Zhiwen Chen Claire Cui ALM MoE 231 826 0 13 Dec 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 507 2,413 0 02 Sep 2021
Go Wider Instead of Deeper Fuzhao Xue Ziji Shi Futao Wei Yuxuan Lou Yong Liu Yang You ViT MoE 58 83 0 25 Jul 2021
Scaling Vision with Sparse Mixture of Experts C. Riquelme J. Puigcerver Basil Mustafa Maxim Neumann Rodolphe Jenatton André Susano Pinto Daniel Keysers N. Houlsby MoE 112 609 0 10 Jun 2021
Hash Layers For Large Sparse Models Stephen Roller Sainbayar Sukhbaatar Arthur Szlam Jason Weston MoE 181 214 0 08 Jun 2021
ZeRO-Infinity: Breaking the GPU Memory Wall for Extreme Scale Deep Learning Samyam Rajbhandari Olatunji Ruwase Jeff Rasley Shaden Smith Yuxiong He GNN 89 388 0 16 Apr 2021
Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM Deepak Narayanan Mohammad Shoeybi Jared Casper P. LeGresley M. Patwary ... Prethvi Kashinkunti J. Bernauer Bryan Catanzaro Amar Phanishayee Matei A. Zaharia MoE 124 701 0 09 Apr 2021
BASE Layers: Simplifying Training of Large, Sparse Models M. Lewis Shruti Bhosale Tim Dettmers Naman Goyal Luke Zettlemoyer MoE 201 281 0 30 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 467 21,603 0 25 Mar 2021
FastMoE: A Fast Mixture-of-Expert Training System Jiaao He J. Qiu Aohan Zeng Zhilin Yang Jidong Zhai Jie Tang ALM MoE 86 101 0 24 Mar 2021
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity W. Fedus Barret Zoph Noam M. Shazeer MoE 88 2,226 0 11 Jan 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 676 41,483 0 22 Oct 2020