Approximate Computing Techniques: From Component- to Application-Level 1st ed. 2022 Edition

Approximate Computing Techniques: From Component- to Application-Level 1st ed. 2022 Edition book cover

Approximate Computing Techniques: From Component- to Application-Level 1st ed. 2022 Edition

Author(s): Alberto Bosio (Editor), Daniel Ménard (Editor), Olivier Sentieys (Editor)

  • Publisher: Springer
  • Publication Date: 11 Jun. 2023
  • Edition: 1st ed. 2022
  • Language: English
  • Print length: 552 pages
  • ISBN-10: 3030947076
  • ISBN-13: 9783030947071

Book Description

This book serves as a single-source reference to the latest advances in Approximate Computing (AxC), a promising technique for increasing performance or reducing the cost and power consumption of a computing system. The authors discuss the different AxC design and validation techniques, and their integration. They also describe real AxC applications, spanning from mobile to high performance computing and also safety-critical applications.

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From the Back Cover

This book serves as a single-source reference to the latest advances in Approximate Computing (AxC), a promising technique for increasing performance or reducing the cost and power consumption of a computing system. The authors discuss the different AxC design and validation techniques, and their integration. They also describe real AxC applications, spanning from mobile to high performance computing and also safety-critical applications.

  • Provides a single-source reference to the state-of-the art of approximate computing (AxC);
  • Presents a global picture of the approximate computing paradigm, at various levels of abstraction;
  • Discusses real AxC applications, such as Approximate Computing for IoT, high performance computing and safety-critical applications.

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