Approximate computing techniques : from component- to application-level / Alberto Bosio, Daniel Ménard, Olivier Sentieys, editors.
Bosio, Alberto, editor.; Ménard, Daniel, editor.; Sentieys, Olivier, editor.
2022
QA76
Available Online

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Title Approximate computing techniques : from component- to application-level / Alberto Bosio, Daniel Ménard, Olivier Sentieys, editors.
ISBN 9783030947057 (electronic bk.)
303094705X (electronic bk.)
9783030947040 (print)
3030947041
DOI https://doi.org/10.1007/978-3-030-94705-7
Published Cham, Switzerland : Springer, 2022.
Language English
Description 1 online resource (xxi, 531 pages) : illustrations (some color)
Item Number 10.1007/978-3-030-94705-7 doi
Call Number QA76
Dewey Decimal Classification 004
Summary 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.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed June 15, 2022).
Added Author Bosio, Alberto, editor.
Ménard, Daniel, editor.
Sentieys, Olivier, editor.
Available in Other Form Print version: 9783030947040
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Record Appears in Online Resources > Ebooks
All Resources
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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