Work

Configurable High-Level Synthesis Approximate Arithmetic Units for Deep Learning Accelerators

Year: 2024

Type: conference-paper

Source: IEEE Central America and Panama Convention (CONCAPAN)

DOI: 10.1109/concapan63470.2024.10933846

Authors: David Cordero-Chavarría, Luis G. Leόn-Vega, Jorge Castro-Godínez

Institutions: Instituto Tecnológico de Costa Rica, University of Trieste

Language: English

Topic: Low-power high-performance VLSI design

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4408860650

FWCI: 0.779

Cites: 28

Cited by: 1

Related to: 10