Automated Circuit Approximation Method Driven by Data Distribution
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU132054" target="_blank" >RIV/00216305:26230/19:PU132054 - isvavai.cz</a>
Result on the web
<a href="https://www.fit.vut.cz/research/publication/11821/" target="_blank" >https://www.fit.vut.cz/research/publication/11821/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.23919/DATE.2019.8714977" target="_blank" >10.23919/DATE.2019.8714977</a>
Alternative languages
Result language
angličtina
Original language name
Automated Circuit Approximation Method Driven by Data Distribution
Original language description
We propose an application-tailored data-driven fully automated method for functional approximation of combinational circuits. We demonstrate how an application-level error metric such as the classification accuracy can be translated to a component-level error metric needed for an efficient and fast search in the space of approximate low-level components that are used in the application. This is possible by employing a weighted mean error distance (WMED) metric for steering the circuit approximation process which is conducted by means of genetic programming. WMED introduces a set of weights (calculated from the data distribution measured on a selected signal in a given application) determining the importance of each input vector for the approximation process. The method is evaluated using synthetic benchmarks and application-specific approximate MAC (multiply-and-accumulate) units that are designed to provide the best trade-offs between the classification accuracy and power consumption of two image classifiers based on neural networks.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA19-10137S" target="_blank" >GA19-10137S: Designing and exploiting libraries of approximate circuits</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Design, Automation and Test in Europe Conference
ISBN
978-3-9819263-2-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
96-101
Publisher name
European Design and Automation Association
Place of publication
Florence
Event location
Florencie
Event date
Mar 25, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000470666100017