Work

Pipelined and Low-Power MAC Unit with Sparsity-Aware Encoding for Neural Network Applications

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Communication Systems and Network Technologies (CSNT)

DOI: 10.1109/csnt64827.2025.10967810

Authors: Mruthyunjai Sriram E, Ramesh S R

Institution: Amrita Vishwa Vidyapeetham

Language: English

Topic: Low-power high-performance VLSI design

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4409724149

FWCI: 7.075

Cites: 17

Cited by: 3

Related to: 10