Work

FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization

Year: 2022

Type: conference-paper

Source: ACM/IEEE Design Automation Conference (DAC)

DOI: 10.1145/3489517.3530618

Authors: Mengshu Sun, Zhengang Li, Alec Lu, Haoyu Ma, Geng Yuan, Yanyue Xie, Hao Tang, Yanyu Li, Miriam Leeser, Zhangyang Wang, Xue Lin, Zhenman Fang

Institutions: Northeastern University, Simon Fraser University, University of California System, ETH Zurich, The University of Texas at Austin

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Science Foundation

Award: SHF: Medium: Collaborative Research: ADMM-NN: A Unified Software/Hardware Framework of DNN Computation and Storage Reduction Using ADMM

OpenAlex ID: W4293025835

FWCI: 0.741

Cites: 5

Cited by: 11

Related to: 10