Work

An Energy-Efficient One-Shot Time-Based Neural Network Accelerator Employing Dynamic Threshold Error Correction in 65 nm

Year: 2019

Type: article

Source: IEEE Journal of Solid-State Circuits

DOI: 10.1109/jssc.2019.2914361

Authors: Luke R. Everson, Muqing Liu, Nakul Pande, Chris H. Kim

Institution: University of Minnesota

Language: English

Topic: Low-power high-performance VLSI design

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

Awards: SHF: Medium: Time Based Deep Neural Networks: An Integrated Hardware-Software Approach, IGERT: Interacting with the Brain: Mechanisms, Optimization, and Innovation

OpenAlex ID: W2945323101

FWCI: 1.233

Cites: 20

Cited by: 38

Related to: 10