Detail výsledku
Design, Verification, Test, and In-Field Implications of Approximate Digital Integrated Circuits
DI CARLO, S.
GIRARD, P.
Ruospo Annachiara
SANCHEZ, E.
SAVINO, A.
Sekanina Lukáš, prof. Ing., Ph.D., UPSY (FIT)
TRAIOLA, M.
Vašíček Zdeněk, doc. Ing., Ph.D., UPSY (FIT)
VIRAZEL, A.
Today, the concept of approximation in computing is becoming more and more a hot topic to investigate how computing systems can be more energy-efficient, faster, and less complex. Intuitively, instead of performing exact computations and, consequently, requiring a high amount of resources, Approximate Computing aims at selectively relaxing the specifications, trading accuracy off for efficiency. While Approximate Computing allows many improvements when looking at systems performance, energy efficiency, and complexity, it poses significant challenges regarding the design, the verification, the test, and the in-field reliability of Approximate Digital Integrated Circuits. This chapter covers these aspects, leveraging the authors experience in the field to present state-of-the-art solutions to apply during the different development phases of an Approximate Computing system.
Design, Verification, Test, Approximate Computing, Digital Circuit
@inbook{BUT178209,
author="BOSIO, A. and DI CARLO, S. and GIRARD, P. and RUOSPO, A. and SANCHEZ, E. and SAVINO, A. and SEKANINA, L. and TRAIOLA, M. and VAŠÍČEK, Z. and VIRAZEL, A.",
title="Design, Verification, Test, and In-Field Implications of Approximate Digital Integrated Circuits",
booktitle="Approximate Computing Techniques",
year="2022",
publisher="Springer International Publishing",
address="Cham",
pages="349--385",
doi="10.1007/978-3-030-94705-7\{_}12",
isbn="978-3-030-94704-0",
url="https://link.springer.com/book/10.1007/978-3-030-94705-7"
}