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VAŠÍČEK, Z. MRÁZEK, V. SEKANINA, L.
Originální název
Evolutionary Functional Approximation of Circuits Implemented into FPGAs
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
In many applications it is acceptable to allow a smallerror in the result if significant improvements are obtained interms of performance, area or energy efficiency. Exploiting thisprinciple is particularly important for FPGA-based solutions thatare inherently subject to many resources- oriented constraints.This paper devises an automated method that enables to approximatecircuit components which are often implemented inmultiple instances in FPGA-based accelerators. The approximation process starts with a fully functional gate-level circuit, whichis approximated by means of Cartesian Genetic Programmingreflecting the error metric and constraints formulated by theuser. The evolved circuits are then implemented for a particularFPGA by common FPGA synthesis and optimization tools. It isshown using five different FPGA tools, that the approximationsobtained by CGP working at the gate level are preserved at thelevel look-up tables of FPGAs. The proposed method is evaluatedin the task of 8-bit adder, 8-bit multiplier, 9-input median and 25-input median approximation.
Klíčová slova
functional approximationevolutionary algorithmequivalenceFPGA synthesis
Autoři
VAŠÍČEK, Z.; MRÁZEK, V.; SEKANINA, L.
Vydáno
15. 8. 2016
Nakladatel
Institute of Electrical and Electronics Engineers
Místo
Athens
ISBN
978-1-5090-4240-1
Kniha
2016 IEEE Symposium Series on Computational Intelligence
Strany od
1
Strany do
8
Strany počet
URL
https://www.fit.vut.cz/research/publication/11243/
BibTex
@inproceedings{BUT131010, author="Zdeněk {Vašíček} and Vojtěch {Mrázek} and Lukáš {Sekanina}", title="Evolutionary Functional Approximation of Circuits Implemented into FPGAs", booktitle="2016 IEEE Symposium Series on Computational Intelligence", year="2016", pages="1--8", publisher="Institute of Electrical and Electronics Engineers", address="Athens", doi="10.1109/SSCI.2016.7850173", isbn="978-1-5090-4240-1", url="https://www.fit.vut.cz/research/publication/11243/" }
Dokumenty
ices.pdf