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Design, Verification, Test, and In-Field Implications of Approximate Digital Integrated Circuits

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F22%3APU144756" target="_blank" >RIV/00216305:26230/22:PU144756 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/book/10.1007/978-3-030-94705-7" target="_blank" >https://link.springer.com/book/10.1007/978-3-030-94705-7</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-94705-7_12" target="_blank" >10.1007/978-3-030-94705-7_12</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Design, Verification, Test, and In-Field Implications of Approximate Digital Integrated Circuits

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    20206 - Computer hardware and architecture

Result continuities

  • Project

    <a href="/en/project/GA21-13001S" target="_blank" >GA21-13001S: Automated design of hardware accelerators for resource-aware machine learning</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Book/collection name

    Approximate Computing Techniques

  • ISBN

    978-3-030-94704-0

  • Number of pages of the result

    37

  • Pages from-to

    349-385

  • Number of pages of the book

    531

  • Publisher name

    Springer International Publishing

  • Place of publication

    Cham

  • UT code for WoS chapter