|
|
|
|
| LEADER |
00000cam a2200000 i 4500 |
| 001 |
on1330250452 |
| 003 |
OCoLC |
| 005 |
20240909213021.0 |
| 006 |
m o d |
| 007 |
cr cnu|||unuuu |
| 008 |
220615t20222022sz a ob 001 0 eng d |
| 040 |
|
|
|a GW5XE
|b eng
|e rda
|e pn
|c GW5XE
|d YDX
|d EBLCP
|d OCLCF
|d OCLCQ
|d OCLCO
|d ORE
|d N$T
|d OCLCQ
|
| 019 |
|
|
|a 1330197603
|a 1419372374
|
| 020 |
|
|
|a 9783030947057
|q (electronic bk.)
|
| 020 |
|
|
|a 303094705X
|q (electronic bk.)
|
| 020 |
|
|
|z 9783030947040
|q (print)
|
| 020 |
|
|
|z 3030947041
|
| 024 |
7 |
|
|a 10.1007/978-3-030-94705-7
|2 doi
|
| 035 |
|
|
|a (OCoLC)1330250452
|z (OCoLC)1330197603
|z (OCoLC)1419372374
|
| 050 |
|
4 |
|a QA76
|
| 072 |
|
7 |
|a TJFC
|2 bicssc
|
| 072 |
|
7 |
|a TEC008010
|2 bisacsh
|
| 072 |
|
7 |
|a TJFC
|2 thema
|
| 049 |
|
|
|a HCDD
|
| 245 |
0 |
0 |
|a Approximate computing techniques :
|b from component- to application-level /
|c Alberto Bosio, Daniel Ménard, Olivier Sentieys, editors.
|
| 264 |
|
1 |
|a Cham, Switzerland :
|b Springer,
|c [2022].
|
| 264 |
|
4 |
|c ©2022
|
| 300 |
|
|
|a 1 online resource (xxi, 531 pages) :
|b illustrations (some color)
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 505 |
0 |
|
|a Contents -- List of Figures -- List of Tables -- General Introduction -- Part I Techniques for Approximate Computing -- Customizing Number Representation and Precision -- Hardware Level Approximations -- Inexact Arithmetic Operators -- Approximate Computing at the Algorithmic Level -- Part II Methods and Tools for Approximate Computing -- Analysis of the Impact of Approximate Computing on the Application Quality -- Accuracy-Aware Compilers -- Design Space Exploration Tools -- Wordlength Optimization of Fixed-Point Algorithms -- Part III Approximate Computing Applied to Real-Life Applications -- Exploiting Approximations in Real-Time Scheduling -- Security in an Approximated World: New Threats and Opportunities in the Approximate Computing Paradigm -- Design, Verification, Test, and In-Field Implications of Approximate Digital Integrated Circuits -- Approximate Computing for Fault Tolerance Mechanisms for Safety-Critical Applications -- Approximate Computing for Scientific Applications -- Approximations in Deep Learning -- Index
|
| 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.
|
| 504 |
|
|
|a Includes bibliographical references and index
|
| 588 |
|
|
|a Description based on online resource; title from PDF title page (SpringerLink, viewed June 15, 2022).
|
| 650 |
|
0 |
|a Approximate computing.
|
| 650 |
|
7 |
|a Approximate computing
|2 fast
|
| 700 |
1 |
|
|a Bosio, Alberto,
|e editor.
|
| 700 |
1 |
|
|a Menard, Daniel,
|e editor.
|
| 700 |
1 |
|
|a Sentieys, Olivier,
|d 1967-
|e editor.
|
| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-94705-7
|y Click for online access
|
| 903 |
|
|
|a SPRING-ENGINE2022
|
| 994 |
|
|
|a 92
|b HCD
|