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Approximate computing techniquesfrom component- to application-level /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Approximate computing techniquesedited by Alberto Bosio, Daniel Ménard, Olivier Sentieys.
Reminder of title:	from component- to application-level /
other author:	Bosio, Alberto.
Published:	Cham :Springer International Publishing :2022.
Description:	xxi, 531 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Approximate computing.
Online resource:	https://doi.org/10.1007/978-3-030-94705-7
ISBN:	9783030947057$q(electronic bk.)

Approximate computing techniquesfrom component- to application-level /
Approximate computing techniquesfrom component- to application-level /[electronic resource] :edited by Alberto Bosio, Daniel Ménard, Olivier Sentieys. - Cham :Springer International Publishing :2022. - xxi, 531 p. :ill. (some col.), digital ;24 cm.

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.

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.

ISBN: 9783030947057$q(electronic bk.)

Standard No.: 10.1007/978-3-030-94705-7doiSubjects--Topical Terms:

929374
Approximate computing.

LC Class. No.: QA76 / .A66 2022

Dewey Class. No.: 004

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505 0 $a 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.
520 $a 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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