Work

Reconfigurable FET Approximate Computing-based Accelerator for Deep Learning Applications

Year: 2023

Type: conference-paper

Source: IEEE International Symposium on Circuits and Systems proceedings

DOI: 10.1109/iscas46773.2023.10181758

Authors: Raghul Saravanan, Sathwika Bavikadi, Shubham Rai, Akash Kumar, Sai Manoj Pudukotai Dinakarrao

Institutions: George Mason University, Technische Universität Dresden

Language: English

Topic: Low-power high-performance VLSI design

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: Deutsche Forschungsgemeinschaft

Award: SecuReFET II: Sichere Schaltungen durch inhärent rekonfigurierbare Feldeffekttransistoren II

OpenAlex ID: W4385079945

FWCI: 3.615

Cites: 20

Cited by: 8

Related to: 10