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LLM Inference Unveiled: Survey and Roofline Model Insights

LLM Inference Unveiled: Survey and Roofline Model Insights

26 February 2024
Zhihang Yuan
Yuzhang Shang
Yang Zhou
Zhen Dong
Zhe Zhou
Chenhao Xue
Bingzhe Wu
Zhikai Li
Qingyi Gu
Yong Jae Lee
Yan Yan
Beidi Chen
Guangyu Sun
Kurt Keutzer
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Papers citing "LLM Inference Unveiled: Survey and Roofline Model Insights"

37 / 37 papers shown
Title
Radio: Rate-Distortion Optimization for Large Language Model Compression
Radio: Rate-Distortion Optimization for Large Language Model Compression
Sean I. Young
MQ
17
0
0
05 May 2025
CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices
CarbonCall: Sustainability-Aware Function Calling for Large Language Models on Edge Devices
Varatheepan Paramanayakam
Andreas Karatzas
Iraklis Anagnostopoulos
Dimitrios Stamoulis
34
0
0
29 Apr 2025
Taming the Titans: A Survey of Efficient LLM Inference Serving
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
Token Sequence Compression for Efficient Multimodal Computing
Token Sequence Compression for Efficient Multimodal Computing
Yasmine Omri
Parth Shroff
Thierry Tambe
46
0
0
24 Apr 2025
Seesaw: High-throughput LLM Inference via Model Re-sharding
Qidong Su
Wei Zhao
X. Li
Muralidhar Andoorveedu
Chenhao Jiang
Zhanda Zhu
Kevin Song
Christina Giannoula
Gennady Pekhimenko
LRM
68
0
0
09 Mar 2025
Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis
Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis
J. Zhao
M. Wang
Miao Zhang
Yuzhang Shang
Xuebo Liu
Yaowei Wang
Min Zhang
Liqiang Nie
MQ
48
1
0
18 Feb 2025
Genetic AI: Evolutionary Games for ab initio dynamic Multi-Objective Optimization
Genetic AI: Evolutionary Games for ab initio dynamic Multi-Objective Optimization
Philipp Wissgott
37
0
0
31 Jan 2025
GUIDE: A Global Unified Inference Engine for Deploying Large Language Models in Heterogeneous Environments
GUIDE: A Global Unified Inference Engine for Deploying Large Language Models in Heterogeneous Environments
Yanyu Chen
Ganhong Huang
95
0
0
28 Jan 2025
Progressive Mixed-Precision Decoding for Efficient LLM Inference
Progressive Mixed-Precision Decoding for Efficient LLM Inference
Hao Chen
Fuwen Tan
Alexandros Kouris
Royson Lee
Hongxiang Fan
Stylianos I. Venieris
MQ
16
1
0
17 Oct 2024
EPS-MoE: Expert Pipeline Scheduler for Cost-Efficient MoE Inference
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
42
2
0
16 Oct 2024
Foundations of Large Language Model Compression -- Part 1: Weight
  Quantization
Foundations of Large Language Model Compression -- Part 1: Weight Quantization
Sean I. Young
MQ
27
1
0
03 Sep 2024
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Guanqiao Qu
Qiyuan Chen
Wei Wei
Zheng Lin
Xianhao Chen
Kaibin Huang
27
37
0
09 Jul 2024
Retrieval-Augmented Generation for AI-Generated Content: A Survey
Retrieval-Augmented Generation for AI-Generated Content: A Survey
Penghao Zhao
Hailin Zhang
Qinhan Yu
Zhengren Wang
Yunteng Geng
Fangcheng Fu
Ling Yang
Wentao Zhang
Jie Jiang
Bin Cui
3DV
99
215
0
29 Feb 2024
Model Compression and Efficient Inference for Large Language Models: A
  Survey
Model Compression and Efficient Inference for Large Language Models: A Survey
Wenxiao Wang
Wei Chen
Yicong Luo
Yongliu Long
Zhengkai Lin
Liye Zhang
Binbin Lin
Deng Cai
Xiaofei He
MQ
28
30
0
15 Feb 2024
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
Wei Huang
Yangdong Liu
Haotong Qin
Ying Li
Shiming Zhang
Xianglong Liu
Michele Magno
Xiaojuan Qi
MQ
77
63
0
06 Feb 2024
Break the Sequential Dependency of LLM Inference Using Lookahead
  Decoding
Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
Yichao Fu
Peter Bailis
Ion Stoica
Hao Zhang
120
134
0
03 Feb 2024
Small Language Model Meets with Reinforced Vision Vocabulary
Small Language Model Meets with Reinforced Vision Vocabulary
Haoran Wei
Lingyu Kong
Jinyue Chen
Liang Zhao
Zheng Ge
En Yu
Jian‐Yuan Sun
Chunrui Han
Xiangyu Zhang
VLM
57
14
0
23 Jan 2024
APAR: LLMs Can Do Auto-Parallel Auto-Regressive Decoding
APAR: LLMs Can Do Auto-Parallel Auto-Regressive Decoding
Mingdao Liu
Aohan Zeng
Bowen Wang
Peng Zhang
Jie Tang
Yuxiao Dong
56
7
0
12 Jan 2024
FlightLLM: Efficient Large Language Model Inference with a Complete
  Mapping Flow on FPGAs
FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs
Shulin Zeng
Jun Liu
Guohao Dai
Xinhao Yang
Tianyu Fu
...
Zehao Wang
Ruoyu Zhang
Kairui Wen
Xuefei Ning
Yu Wang
46
53
0
08 Jan 2024
LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model
LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model
Yichen Zhu
Minjie Zhu
Ning Liu
Zhicai Ou
Xiaofeng Mou
Jian Tang
63
89
0
04 Jan 2024
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPU
Yixin Song
Zeyu Mi
Haotong Xie
Haibo Chen
BDL
112
114
0
16 Dec 2023
LLM in a flash: Efficient Large Language Model Inference with Limited
  Memory
LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Keivan Alizadeh-Vahid
Iman Mirzadeh
Dmitry Belenko
Karen Khatamifard
Minsik Cho
C. C. D. Mundo
Mohammad Rastegari
Mehrdad Farajtabar
68
104
0
12 Dec 2023
PromptMix: A Class Boundary Augmentation Method for Large Language Model
  Distillation
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation
Gaurav Sahu
Olga Vechtomova
Dzmitry Bahdanau
I. Laradji
VLM
47
14
0
22 Oct 2023
Distilling Step-by-Step! Outperforming Larger Language Models with Less
  Training Data and Smaller Model Sizes
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes
Lokesh Nagalapatti
Chun-Liang Li
Chih-Kuan Yeh
Hootan Nakhost
Yasuhisa Fujii
Alexander Ratner
Ranjay Krishna
Chen-Yu Lee
Tomas Pfister
ALM
198
283
0
03 May 2023
SCOTT: Self-Consistent Chain-of-Thought Distillation
SCOTT: Self-Consistent Chain-of-Thought Distillation
Jamie Yap
Zhengyang Wang
Zheng Li
K. Lynch
Bing Yin
Xiang Ren
LRM
57
91
0
03 May 2023
Unlimiformer: Long-Range Transformers with Unlimited Length Input
Unlimiformer: Long-Range Transformers with Unlimited Length Input
Amanda Bertsch
Uri Alon
Graham Neubig
Matthew R. Gormley
RALM
91
122
0
02 May 2023
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale
  Instructions
LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions
Minghao Wu
Abdul Waheed
Chiyu Zhang
Muhammad Abdul-Mageed
Alham Fikri Aji
ALM
115
115
0
27 Apr 2023
FlexGen: High-Throughput Generative Inference of Large Language Models
  with a Single GPU
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU
Ying Sheng
Lianmin Zheng
Binhang Yuan
Zhuohan Li
Max Ryabinin
...
Joseph E. Gonzalez
Percy Liang
Christopher Ré
Ion Stoica
Ce Zhang
135
208
0
13 Mar 2023
DFX: A Low-latency Multi-FPGA Appliance for Accelerating
  Transformer-based Text Generation
DFX: A Low-latency Multi-FPGA Appliance for Accelerating Transformer-based Text Generation
Seongmin Hong
Seungjae Moon
Junsoo Kim
Sungjae Lee
Minsub Kim
Dongsoo Lee
Joo-Young Kim
56
74
0
22 Sep 2022
FP8 Formats for Deep Learning
FP8 Formats for Deep Learning
Paulius Micikevicius
Dusan Stosic
N. Burgess
Marius Cornea
Pradeep Dubey
...
Naveen Mellempudi
S. Oberman
M. Shoeybi
Michael Siu
Hao Wu
BDL
VLM
MQ
62
119
0
12 Sep 2022
Low-rank lottery tickets: finding efficient low-rank neural networks via
  matrix differential equations
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations
Steffen Schotthöfer
Emanuele Zangrando
J. Kusch
Gianluca Ceruti
Francesco Tudisco
47
30
0
26 May 2022
Sparse Mixers: Combining MoE and Mixing to build a more efficient BERT
Sparse Mixers: Combining MoE and Mixing to build a more efficient BERT
James Lee-Thorp
Joshua Ainslie
MoE
22
11
0
24 May 2022
Training language models to follow instructions with human feedback
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
301
11,730
0
04 Mar 2022
Train Short, Test Long: Attention with Linear Biases Enables Input
  Length Extrapolation
Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Ofir Press
Noah A. Smith
M. Lewis
234
690
0
27 Aug 2021
Consistent Accelerated Inference via Confident Adaptive Transformers
Consistent Accelerated Inference via Confident Adaptive Transformers
Tal Schuster
Adam Fisch
Tommi Jaakkola
Regina Barzilay
AI4TS
179
69
0
18 Apr 2021
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Pruning and Quantization for Deep Neural Network Acceleration: A Survey
Tailin Liang
C. Glossner
Lei Wang
Shaobo Shi
Xiaotong Zhang
MQ
121
665
0
24 Jan 2021
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
220
3,054
0
23 Jan 2020
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