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ExpertFlow: Optimized Expert Activation and Token Allocation for
  Efficient Mixture-of-Experts Inference

ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference

23 October 2024
Xin He
Shunkang Zhang
Yuxin Wang
Haiyan Yin
Zihao Zeng
Shaohuai Shi
Zhenheng Tang
Xiaowen Chu
Ivor Tsang
Ong Yew Soon
    MoE
ArXiv (abs)PDFHTML

Papers citing "ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference"

15 / 15 papers shown
Title
FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs
  with Adaptive Compression
FusionLLM: A Decentralized LLM Training System on Geo-distributed GPUs with Adaptive Compression
Zhenheng Tang
Xueze Kang
Yiming Yin
Xinglin Pan
Yuxin Wang
...
Shaohuai Shi
Amelie Chi Zhou
Bo Li
Bingsheng He
Xiaowen Chu
AI4CE
104
8
0
16 Oct 2024
Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving
Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving
Ruoyu Qin
Zheming Li
Weiran He
Mingxing Zhang
Yongwei Wu
Weimin Zheng
Xinran Xu
139
66
0
24 Jun 2024
Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models
Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models
Keisuke Kamahori
Tian Tang
Yile Gu
Kan Zhu
Baris Kasikci
134
24
0
10 Feb 2024
AWQ: Activation-aware Weight Quantization for LLM Compression and
  Acceleration
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
Ji Lin
Jiaming Tang
Haotian Tang
Shang Yang
Wei-Ming Chen
Wei-Chen Wang
Guangxuan Xiao
Xingyu Dang
Chuang Gan
Song Han
EDLMQ
112
578
0
01 Jun 2023
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained
  Transformers
GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
Elias Frantar
Saleh Ashkboos
Torsten Hoefler
Dan Alistarh
MQ
157
1,012
0
31 Oct 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya A. Ramesh
Prafulla Dhariwal
Alex Nichol
Casey Chu
Mark Chen
VLMDiffM
425
6,921
0
13 Apr 2022
Mixture-of-Experts with Expert Choice Routing
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
310
372
0
18 Feb 2022
Evaluating Large Language Models Trained on Code
Evaluating Large Language Models Trained on Code
Mark Chen
Jerry Tworek
Heewoo Jun
Qiming Yuan
Henrique Pondé
...
Bob McGrew
Dario Amodei
Sam McCandlish
Ilya Sutskever
Wojciech Zaremba
ELMALM
238
5,675
0
07 Jul 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
422
5,005
0
24 Feb 2021
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
908
42,520
0
28 May 2020
Scaling Laws for Neural Language Models
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
653
4,925
0
23 Jan 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
521
20,376
0
23 Oct 2019
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
Samyam Rajbhandari
Jeff Rasley
Olatunji Ruwase
Yuxiong He
ALMAI4CE
86
921
0
04 Oct 2019
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
Xiaowen Chu
152
1,468
0
02 Aug 2019
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional
  Neural Networks for Extreme Summarization
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
Shashi Narayan
Shay B. Cohen
Mirella Lapata
AILaw
161
1,686
0
27 Aug 2018
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