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Open AccessFeature PaperArticle

Survey on Approximate Computing and Its Intrinsic Fault Tolerance

Universidade Federal do Rio Grande do Sul (UFRGS)-Institute of Informatics, Porto Alegre 90040-060, Brazil
Ecole Centrale de Lyon-Lyon Institute of Nanotechnology, 69130 Lyon, France
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Electronics 2020, 9(4), 557;
Received: 20 February 2020 / Revised: 19 March 2020 / Accepted: 23 March 2020 / Published: 26 March 2020
This work is a survey on approximate computing and its impact on fault tolerance, especially for safety-critical applications. It presents a multitude of approximation methodologies, which are typically applied at software, architecture, and circuit level. Those methodologies are discussed and compared on all their possible levels of implementations (some techniques are applied at more than one level). Approximation is also presented as a means to provide fault tolerance and high reliability: Traditional error masking techniques, such as triple modular redundancy, can be approximated and thus have their implementation and execution time costs reduced compared to the state of the art.
Keywords: approximate; computing; reliability; safety-critical approximate; computing; reliability; safety-critical
MDPI and ACS Style

Rodrigues, G.; Kastensmidt, F.L.; Bosio, A. Survey on Approximate Computing and Its Intrinsic Fault Tolerance. Electronics 2020, 9, 557.

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