A Survey of Testing Techniques for Approximate Integrated Circuits

Autor: Alberto Bosio, Arnaud Virazel, Mario Barbareschi, Marcello Traiola, Patrick Girard
Přispěvatelé: TEST (TEST), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Università degli studi di Napoli Federico II, Traiola, M., Virazel, A., Girard, P., Barbareschi, M., Bosio, A.
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Approximate computing
test pattern
Computer science
Computation
02 engineering and technology
Integrated circuit
robustness
Automatic test pattern generation
01 natural sciences
law.invention
[SPI]Engineering Sciences [physics]
production errors
Robustness (computer science)
law
0103 physical sciences
approximate integrated circuits (AxICs)
0202 electrical engineering
electronic engineering
information engineering

Approximate computing (AxC)
Electrical and Electronic Engineering
[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics
robustne
Design paradigm
circuit faults
AxA testing
010302 applied physics
circuit fault
Test procedures
hardware test
testing
020202 computer hardware & architecture
Reliability engineering
production error
Measurement uncertainty
approximation-aware (AxA) test methodology
automatic test pattern generation (ATPG)
Zdroj: Proceedings of the IEEE
Proceedings of the IEEE, Institute of Electrical and Electronics Engineers, In press, ⟨10.1109/JPROC.2020.2999613⟩
ISSN: 0018-9219
1558-2256
Popis: International audience; Approximate computing (AxC) is increasingly emerging as a new design paradigm to produce more efficient computation systems by judiciously reducing the computation quality. In particular, AxC has been successfully applied to integrated circuits (ICs), in the last years. Hence, concerning the test of such new class of ICs, namely approximate ICs (AxICs), new challenges--as well as new opportunities--have emerged. In this survey, we provide a thorough analysis of issues related to test procedures for AxICs and review the state-of-the-art techniques to deal with them. We resort to an illustrative example having the twofold aim of: 1) guiding the reader through the AxIC testing challenges and 2) illustrating the existing solutions to correctly overcome them, while suitably taking advantage of opportunities coming from approximation. We analyze experimentally the most recent testing techniques for AxICs and highlight their mature aspects, as well as their shortcomings. Experimental outcomes show that the testing process for AxIC is not completely mature. Indeed, only under specific conditions existing testing procedures achieve good results.
Databáze: OpenAIRE