Work

Efficient Convolution Accelerator Using Number-Theoretic Transform for Deep Learning on Fpga

Year: 2025

Type: conference-paper

DOI: 10.1109/dlcv65218.2025.11088867

Authors: Lingfeng Bai, Rui Zhang, Weidong Zhou, Lan Tian, Guanghao Jin, Guoyang Liu

Institutions: Shandong University, Ludwig-Maximilians-Universität München

Language: English

Topic: Embedded Systems Design Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Natural Science Foundation of Shandong Province

Awards: G246474346, G2484345974

OpenAlex ID: W4413158461

FWCI: 0.928

Cites:

Cited by: 1

Related to: 10