Title
MixDiT: Accelerating Image Diffusion Transformer Inference with Mixed-Precision MX Quantization Daeun Kim Jinwoo Hwang Changhun Oh Jongse Park MQ 35 0 0 11 Apr 2025
Key, Value, Compress: A Systematic Exploration of KV Cache Compression Techniques Neusha Javidnia B. Rouhani F. Koushanfar 49 0 0 14 Mar 2025
BCQ: Block Clustered Quantization for 4-bit (W4A4) LLM Inference Reena Elangovan Charbel Sakr A. Raghunathan Brucek Khailany MQ 38 1 0 07 Feb 2025
Anda: Unlocking Efficient LLM Inference with a Variable-Length Grouped Activation Data Format Chao Fang Man Shi Robin Geens Arne Symons Zhongfeng Wang Marian Verhelst 69 0 0 24 Nov 2024
BitMoD: Bit-serial Mixture-of-Datatype LLM Acceleration Yuzong Chen Ahmed F. AbouElhamayed Xilai Dai Yang Wang Marta Andronic G. Constantinides Mohamed S. Abdelfattah MQ 93 0 0 18 Nov 2024
Error Diffusion: Post Training Quantization with Block-Scaled Number Formats for Neural Networks Alireza Khodamoradi K. Denolf Eric Dellinger MQ 18 0 0 15 Oct 2024
SLaNC: Static LayerNorm Calibration Mahsa Salmani Nikita Trukhanov I. Soloveychik MQ 23 0 0 14 Oct 2024
Scaling Laws for Mixed quantization in Large Language Models Zeyu Cao Cheng Zhang Pedro Gimenes Jianqiao Lu Jianyi Cheng Yiren Zhao MQ 29 1 0 09 Oct 2024
QERA: an Analytical Framework for Quantization Error Reconstruction Cheng Zhang Jeffrey T. H. Wong Can Xiao G. Constantinides Yiren Zhao MQ 35 0 0 08 Oct 2024
$u-$\mu$P: The Unit-Scaled Maximal Update Parametrization$ u- $\mu$ P: The Unit-Scaled Maximal Update Parametrization Charlie Blake C. Eichenberg Josef Dean Lukas Balles Luke Y. Prince Bjorn Deiseroth Andres Felipe Cruz Salinas Carlo Luschi Samuel Weinbach Douglas Orr 46 9 0 24 Jul 2024
Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression Hao Feng Boyuan Zhang Fanjiang Ye Min Si Ching-Hsiang Chu ... Summer Deng Yuchen Hao Pavan Balaji Tong Geng Dingwen Tao AI4CE 21 2 0 05 Jul 2024
SDQ: Sparse Decomposed Quantization for LLM Inference Geonhwa Jeong Po-An Tsai S. Keckler Tushar Krishna MQ 30 3 0 19 Jun 2024
Tender: Accelerating Large Language Models via Tensor Decomposition and Runtime Requantization Jungi Lee Wonbeom Lee Jaewoong Sim MQ 18 14 0 16 Jun 2024
Effective Interplay between Sparsity and Quantization: From Theory to Practice Simla Burcu Harma Ayan Chakraborty Elizaveta Kostenok Danila Mishin Dongho Ha ... Martin Jaggi Ming Liu Yunho Oh Suvinay Subramanian Amir Yazdanbakhsh MQ 22 4 0 31 May 2024
Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs Jordan Dotzel Yuzong Chen Bahaa Kotb Sushma Prasad Gang Wu Sheng R. Li Mohamed S. Abdelfattah Zhiru Zhang 19 7 0 06 May 2024
DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video Analytics Yoonsung Kim Changhun Oh Jinwoo Hwang Wonung Kim Seongryong Oh Yubin Lee Hardik Sharma Amir Yazdanbakhsh Jongse Park 25 7 0 21 Mar 2024
LLM Inference Unveiled: Survey and Roofline Model Insights Zhihang Yuan Yuzhang Shang Yang Zhou Zhen Dong Zhe Zhou ... Yong Jae Lee Yan Yan Beidi Chen Guangyu Sun Kurt Keutzer 37 77 0 26 Feb 2024
GPTVQ: The Blessing of Dimensionality for LLM Quantization M. V. Baalen Andrey Kuzmin Markus Nagel Peter Couperus Cédric Bastoul E. Mahurin Tijmen Blankevoort Paul N. Whatmough MQ 26 28 0 23 Feb 2024
LQER: Low-Rank Quantization Error Reconstruction for LLMs Cheng Zhang Jianyi Cheng G. Constantinides Yiren Zhao MQ 16 8 0 04 Feb 2024
Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's LLM with Open Source SLMs in Production Chandra Irugalbandara Ashish Mahendra Roland Daynauth T. Arachchige Jayanaka L. Dantanarayana K. Flautner Lingjia Tang Yiping Kang Jason Mars ELM 21 14 0 20 Dec 2023
ESPN: Memory-Efficient Multi-Vector Information Retrieval Susav Shrestha Narasimha Reddy Zongwang Li 17 5 0 09 Dec 2023
Just-in-time Quantization with Processing-In-Memory for Efficient ML Training M. Ibrahim Shaizeen Aga Ada Li Suchita Pati Mahzabeen Islam 21 2 0 08 Nov 2023
Microscaling Data Formats for Deep Learning B. Rouhani Ritchie Zhao Ankit More Mathew Hall Alireza Khodamoradi ... Maxim Naumov Colin Verilli Ralph Wittig Doug Burger Eric S. Chung MQ 16 16 0 16 Oct 2023
FP8 versus INT8 for efficient deep learning inference M. V. Baalen Andrey Kuzmin Suparna S. Nair Yuwei Ren E. Mahurin ... Sundar Subramanian Sanghyuk Lee Markus Nagel Joseph B. Soriaga Tijmen Blankevoort MQ 13 43 0 31 Mar 2023
Accuracy Booster: Enabling 4-bit Fixed-point Arithmetic for DNN Training Simla Burcu Harma Canberk Sonmez Nicholas Sperry Babak Falsafi Martin Jaggi Yunho Oh MQ 13 4 0 19 Nov 2022
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 65 119 0 12 Sep 2022
Schrödinger's FP: Dynamic Adaptation of Floating-Point Containers for Deep Learning Training Milovs Nikolić Enrique Torres Sanchez Jia-Hui Wang Ali Hadi Zadeh Mostafa Mahmoud Ameer Abdelhadi Kareem Ibrahim Andreas Moshovos MQ 12 1 0 28 Apr 2022
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 4,424 0 23 Jan 2020
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT Sheng Shen Zhen Dong Jiayu Ye Linjian Ma Z. Yao A. Gholami Michael W. Mahoney Kurt Keutzer MQ 214 571 0 12 Sep 2019
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,435 0 26 Sep 2016