Description

Book Synopsis

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.



Table of Contents

General introduction Motivations.- Number representations.- Data level approximation.- Dynamic precision scaling.- Hardware level approximation.- Inexact operators.- Computation level approximation - algorithmic level.- Analysis of approximation effect on application quality.- Techniques for finite precision arithmetic.- Compilers and Programming Languages for Approximate Computing.- Design space exploration.- Word-length optimization for fixed-point and floating-point.- HLS of approximate accelerators.- Approximate Computing for IoT Applications.- Approximating Safety-Critical Applications.- Approximate Computing for HPC Applications.

Approximate Computing Techniques: From Component-

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A Paperback / softback by Alberto Bosio, Daniel Ménard, Olivier Sentieys

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    View other formats and editions of Approximate Computing Techniques: From Component- by Alberto Bosio

    Publisher: Springer Nature Switzerland AG
    Publication Date: 11/06/2023
    ISBN13: 9783030947071, 978-3030947071
    ISBN10: 3030947076

    Description

    Book Synopsis

    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.



    Table of Contents

    General introduction Motivations.- Number representations.- Data level approximation.- Dynamic precision scaling.- Hardware level approximation.- Inexact operators.- Computation level approximation - algorithmic level.- Analysis of approximation effect on application quality.- Techniques for finite precision arithmetic.- Compilers and Programming Languages for Approximate Computing.- Design space exploration.- Word-length optimization for fixed-point and floating-point.- HLS of approximate accelerators.- Approximate Computing for IoT Applications.- Approximating Safety-Critical Applications.- Approximate Computing for HPC Applications.

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