EvoApproxLib - a comprehensive collection of low-level approximate implementations of arithmetic operations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APR32701" target="_blank" >RIV/00216305:26230/19:PR32701 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.fit.vut.cz/research/product/632/" target="_blank" >https://www.fit.vut.cz/research/product/632/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

EvoApproxLib - a comprehensive collection of low-level approximate implementations of arithmetic operations

Popis výsledku v původním jazyce

Approximate computing and approximate circuits attracted a significant attention of researchers as well as industry in recent years. In order to accelerate the approximate system design process and to support a fair benchmarking of approximation methods, we propose EvoApproxLib - a comprehensive collection of low-level approximate implementations of elementary arithmetic operations.  The collection includes hundreds of implementations of 8-, 12- and 16-bit approximate adders and multipliers showing unique trade-offs between several error metrics (such as the mean absolute error and the worst case error) and electrical parameters (such as delay, area on a chip and power consumption for a particular fabrication technology). Each implementation can be downloaded in various formats (C, Matlab, Verilog). These implementations can be used to create high quality approximate circuits or low-level software routines for approximate computing systems. EvoApproxLib was automatically generated using an automated circuit design system (based on Cartesian Genetic Programming) which is the original invention of the authors. EvoApproxLib extends the authors' results reported mainly in their paper which was awarded with the Best IP Award at DATE 2017. 

Název v anglickém jazyce

EvoApproxLib - a comprehensive collection of low-level approximate implementations of arithmetic operations

Popis výsledku anglicky

Approximate computing and approximate circuits attracted a significant attention of researchers as well as industry in recent years. In order to accelerate the approximate system design process and to support a fair benchmarking of approximation methods, we propose EvoApproxLib - a comprehensive collection of low-level approximate implementations of elementary arithmetic operations.  The collection includes hundreds of implementations of 8-, 12- and 16-bit approximate adders and multipliers showing unique trade-offs between several error metrics (such as the mean absolute error and the worst case error) and electrical parameters (such as delay, area on a chip and power consumption for a particular fabrication technology). Each implementation can be downloaded in various formats (C, Matlab, Verilog). These implementations can be used to create high quality approximate circuits or low-level software routines for approximate computing systems. EvoApproxLib was automatically generated using an automated circuit design system (based on Cartesian Genetic Programming) which is the original invention of the authors. EvoApproxLib extends the authors' results reported mainly in their paper which was awarded with the Best IP Award at DATE 2017. 

Druh

R - Software

CEP obor

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OECD FORD obor

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

Projekt

<a href="/cs/project/GA19-10137S" target="_blank" >GA19-10137S: Navrhování a využívání knihoven aproximativních obvodů</a><br>

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Interní identifikační kód produktu

EvoApproxLib

Technické parametry

Pro informace o licenčních podmínkách prosím kontaktujte: Mgr. Radka Báčová, Výzkumné centrum informačních technologií, Fakulta informačních technologií VUT v Brně, Božetěchova 2, 612 66 Brno, 541 141 473.

Ekonomické parametry

MIT Licence: https://github.com/ehw-fit/evoapproxlib/blob/master/LICENSE.md

IČO vlastníka výsledku

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Název vlastníka

Fakulta informačních technologií