PQA: Exploring the Potential of Product Quantization in DNN Hardware
Acceleration

PQA: Exploring the Potential of Product Quantization in DNN Hardware Acceleration

25 May 2023

Ahmed F. AbouElhamayed

Javier Fernandez-Marques

Nicholas D. Lane

Mohamed S. Abdelfattah

Papers citing "PQA: Exploring the Potential of Product Quantization in DNN Hardware Acceleration"

5 / 5 papers shown

Title
LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator Guoyu Li Shengyu Ye Cheng Chen Yang Wang Fan Yang Ting Cao Cheng Liu Mohamed M. Sabry Mao Yang MQ 140 0 0 18 Jan 2025
Accurate Compression of Text-to-Image Diffusion Models via Vector Quantization Vage Egiazarian Denis Kuznedelev Anton Voronov Ruslan Svirschevski Michael Goin Daniil Pavlov Dan Alistarh Dmitry Baranchuk MQ 39 0 0 31 Aug 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 Li Mohamed S. Abdelfattah Zhiru Zhang 31 8 0 06 May 2024
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer Sachin Mehta Mohammad Rastegari ViT 218 1,213 0 05 Oct 2021
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 191 1,027 0 06 Mar 2020