Work

Power scalable processing using distributed arithmetic

Year: 1999

Type: conference-paper

Abstract: A recent trend in low power design has been the employment of reduced precision processing methods for decreasing arithmetic activity and average power dissipation.Such designs can trade off power and arithmetic precision as system requirements change.This work explores the potential of Distributed Arithmetic (DA) computation structures for low power precisionon-demand computation.We present two proof-ofconcept VLSI implementations whose power dissipation changes according to the precision of the computation performed.

Source: International Symposium on Low Power Electronics and Design (ISLPED)

DOI: 10.1145/313817.313911

Authors: Rajeevan Amirtharajah, Thucydides Xanthopoulos, Anantha Chandrakasan

Institution: Massachusetts Institute of Technology

Language: English

Topic: Low-power high-performance VLSI design

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W2117169968

FWCI: 8.833

Cites: 18

Cited by: 26

Related to: 10