QuAd: Design and Analysis of Quality-Area Optimal Low-Latency Approximate Adders

Muhammad Abdullah Hanif, Rehan Hafiz, Osman Hasan, Muhammad Shafique

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Approximate circuits exploit error resilience property of applications to tradeoff computation quality (accuracy) for gaining advantage in terms of performance, power, and/or area. While state-of-The-Art low-latency approximate adders provide an accuracy-Area-latency configurable design space, the selection of a particular configuration from the design space is still manually done. In this paper, we analytically analyze different structural properties of low-latency approximate adders to formulate a new adder model, Quality-Area optimal Low-Latency approximate Adder (QuAd). It provides an increased design space as compared to state-of-The-Art, providing design points that require less logic area for the same accuracy, as compared to state-of-The-Art approximate adders. Furthermore, based upon our mathematical analysis, we show that, provided a latency constraint, an adder configuration with the highest quality and lowest area requirement can effortlessly be selected from the whole design space of QuAd adder model, without requiring any optimization strategy or numerical simulation. Our experimental results validate the developed model and also the quality-Area optimality of our optimal QuAd adder configuration. For functional verification and prototyping, we have used a Xilinx Virtex-6 FPGA. RTL/behavioral models and MATLAB equivalent scripts, of our proposed adder model are made open source, to facilitate further research and development.

Original languageEnglish (US)
Title of host publicationProceedings of the 54th Annual Design Automation Conference 2017, DAC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781450349277
StatePublished - Jun 18 2017
Event54th Annual Design Automation Conference, DAC 2017 - Austin, United States
Duration: Jun 18 2017Jun 22 2017

Publication series

NameProceedings - Design Automation Conference
VolumePart 128280
ISSN (Print)0738-100X


Other54th Annual Design Automation Conference, DAC 2017
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation


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