Publication Details
Design of Quality-Configurable Approximate Multipliers Suitable for Dynamic Environment
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY)
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY)
Approximate computing, quality configurable circuit, evolutionary algorithms,
cartesian genetic programming
In the context of approximate computing, many different design approaches have
been introduced in recent years exploiting the application error resilience in
order to reduce power consumption. Among others, the concept of Quality
Configurable Circuits (QCC) has been proposed. QCCs allow us to dynamically
modulate the degree to which their functionality is approximated with respect to
the desired quality of service. Existing approaches typically construct complex
approximate circuits using smaller approximate and exact components. This
approach is, however, associated with a considerable area and power overhead. To
mitigate this issue, we propose a holistic approach enabling to formulate the QCC
design problem as a search problem that can be solved by means of soft-computing
techniques. In order to prove this concept, various quality configurable 8-bit
multipliers were designed. Compared to the state-of-the-art solutions, the
proposed quality configurable multipliers exhibit better tradeoffs in terms of
electrical as well as quality parameters.
@inproceedings{BUT155035,
author="Vojtěch {Mrázek} and Zdeněk {Vašíček} and Lukáš {Sekanina}",
title="Design of Quality-Configurable Approximate Multipliers Suitable for Dynamic Environment",
booktitle="Proceedings of the 2018 NASA/ESA Conference on Adaptive Hardware and Systems",
year="2018",
pages="264--271",
publisher="Institute of Electrical and Electronics Engineers",
address="Edinburgh",
doi="10.1109/AHS.2018.8541479",
isbn="978-1-5386-7753-7",
url="https://www.fit.vut.cz/research/publication/11710/"
}