Evolutionary Design of Large Approximate Adders Optimized for Various Error Criteria

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F18%3APU130698" target="_blank" >RIV/00216305:26230/18:PU130698 - isvavai.cz</a>

Result on the web

<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=11637" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=11637</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3205651.3205678" target="_blank" >10.1145/3205651.3205678</a>

Result language

angličtina

Original language name

Evolutionary Design of Large Approximate Adders Optimized for Various Error Criteria

Original language description

As a promising approach to the design of energy efficient circuits, approximate circuits and approximate circuit design methodologies have attracted a significant attention of researchers as well as industry. Compared to the traditional design methods, it has been demonstrated that evolutionary approaches are able to discover approximate circuits exhibiting a good trade-off between the energy consumption and circuit quality. In this work, evolutionary design of large approximate adders is addressed. In order to improve scalability, the quality of the candidate solutions is analysed using a formal approach based on Binary Decision Diagrams. Compared to the common approach based on a parallel circuit simulator, the proposed method is able to evaluate 2-3 orders of magnitude more generations.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/GA16-17538S" target="_blank" >GA16-17538S: Relaxed equivalence checking for approximate computing</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '18)

ISBN

978-1-4503-5764-7

ISSN

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e-ISSN

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Number of pages

2

Pages from-to

294-295

Publisher name

Association for Computing Machinery

Place of publication

Kyoto

Event location

Kyoto

Event date

Jul 15, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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