Approximate Computing: An Old Job for Cartesian Genetic Programming?

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F18%3APU126387" target="_blank" >RIV/00216305:26230/18:PU126387 - isvavai.cz</a>
Result on the web
<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=11349" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=11349</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-67997-6" target="_blank" >10.1007/978-3-319-67997-6</a>

Result language
angličtina
Original language name
Approximate Computing: An Old Job for Cartesian Genetic Programming?
Original language description
Miller's Cartesian genetic programming (CGP) has significantly influenced the development of evolutionary circuit design and evolvable hardware. We present key ingredients of CGP with respect to the efficient search in the space of digital circuits.We then show that approximate computing, which is currently one of the promising approaches used to reduce power consumption of computer systems, is a natural application for CGP. We briefly survey typical applications of CGP in approximate circuit design and outline new directions in approximate computing that could benefit from CGP.
Czech name
—
Czech description
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Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</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

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