Architectural-space exploration of approximate multipliers

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

Abstract

This paper presents an architectural-space exploration methodology for designing approximate multipliers. Unlike state-of-the-art, our methodology generates various design points by adapting three key parameters: (1) different types of elementary approximate multiply modules, (2) different types of elementary adder modules for summing the partial products, and (3) selection of bits for approximation in a wide-bit multiplier design. Generation and exploration of such a design space enables a wide-range of multipliers with varying approximation levels, each exhibiting distinct area, power, and output quality, and thereby facilitates approximate computing at higher abstraction levels. We synthesized our designs using Synopsys Design Compiler with a TSMC 45nm technology library and verified using ModelSim gatelevel simulations. Power and quality evaluations for various designs are performed using PrimeTime and behavioral models, respectively. The selected designs are then deployed in a JPEG application. For reproducibility and to facilitate further research and development at higher abstraction layers, we have released the RTL and behavioral models of these approximate multipliers and adders as an open-source library at https://sourceforge.net/projects/lpaclib/.

Details

OriginalspracheEnglisch
Titel2016 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2016
Herausgeber (Verlag)IEEE, New York [u. a.]
ISBN (elektronisch)9781450344661
PublikationsstatusVeröffentlicht - 7 Nov. 2016
Peer-Review-StatusJa

Publikationsreihe

ReiheIEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD
Band07-10-November-2016
ISSN1558-2434

Konferenz

Titel35th IEEE/ACM International Conference on Computer-Aided Design
KurztitelICCAD 2016
Veranstaltungsnummer35
Dauer7 - 10 November 2016
StadtAustin
LandUSA/Vereinigte Staaten

Schlagworte

Forschungsprofillinien der TU Dresden

Schlagwörter

  • adder, approximate computing, area, arithmetic, configurable accuracy, design space exploration, library, low power image processing, multiplier, open source, performance, power