Work

A scalable and efficient convolutional neural network accelerator using HLS for a system-on-chip design

Year: 2021

Type: article

Source: Microprocessors and Microsystems

DOI: 10.1016/j.micpro.2021.104363

Authors: Kim Bjerge, Jonathan Horsted Schougaard, Daniel Ejnar Larsen

Institution: Aarhus University

Language: English

Topic: Embedded Systems Design Techniques

Subfield: Hardware and Architecture

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3210521911

FWCI: 1.902

Cites: 51

Cited by: 24

Related to: 10