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Design, Verification, Test and In-Field Implications of Approximate Computing Systems

Abstract : 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 gives several promises 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 Computing systems. This tutorial paper covers these aspects leveraging the experience of the authors in the field to present state-of-the-art solutions to apply during the different development phases of an Approximate Computing system.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-03035724
Contributor : Isabelle Gouat <>
Submitted on : Wednesday, December 2, 2020 - 12:27:12 PM
Last modification on : Monday, June 28, 2021 - 9:44:02 AM
Long-term archiving on: : Wednesday, March 3, 2021 - 7:10:30 PM

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Alberto Bosio, Stefano Di Carlo, Patrick Girard, Ernesto Sanchez, Alessandro Savino, et al.. Design, Verification, Test and In-Field Implications of Approximate Computing Systems. IEEE European Test Symposium (ETS), May 2020, Tallinn, Estonia. pp.1-10, ⟨10.1109/ETS48528.2020.9131557⟩. ⟨lirmm-03035724⟩

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