Work

Low Power AI Inference Through Filter Sorting for Reducing Switching Activity of DNN Model

Year: 2025

Type: article

Source: IEEE transactions on circuits and systems for artificial intelligence.

DOI: 10.1109/tcasai.2025.3552355

Authors: Huruy Tesfai, Leen Younes, Hani Saleh, Mahmoud Al-Qutayri, Baker Mohammad

Institution: Khalifa University of Science and Technology

Language: English

Topic: Low-power high-performance VLSI design

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funder: Khalifa University of Science, Technology and Research

Award: G1775633620

OpenAlex ID: W4408566182

FWCI: 0.226

Cites: 25

Cited by: 1

Related to: 10