Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Constrained IoT Edge Devices (Record no. 85675)

000 -LEADER
fixed length control field 03161nam a22005655i 4500
001 - CONTROL NUMBER
control field 978-3-031-18599-1
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730164434.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221221s2023 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031185991
-- 978-3-031-18599-1
082 04 - CLASSIFICATION NUMBER
Call Number 621.3815
100 1# - AUTHOR NAME
Author Abich, Geancarlo.
245 10 - TITLE STATEMENT
Title Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Constrained IoT Edge Devices
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2023.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XV, 131 p. 47 illus., 44 illus. in color.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Engineering, Science, and Technology,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Background in ML Models and Radiation Effects -- Related Works -- Soft Error Assessment Methodology -- Early Soft Error Consistency Assessment -- Soft Error Reliability Assessment of ML Inference Models executing on resource-constrained IoT edge devices -- Conclusions and Future Work.
520 ## - SUMMARY, ETC.
Summary, etc This book describes an extensive and consistent soft error assessment of convolutional neural network (CNN) models from different domains through more than 14.8 million fault injections, considering different precision bit-width configurations, optimization parameters, and processor models. The authors also evaluate the relative performance, memory utilization, and soft error reliability trade-offs analysis of different CNN models considering a compiler-based technique w.r.t. traditional redundancy approaches.
700 1# - AUTHOR 2
Author 2 Ost, Luciano.
700 1# - AUTHOR 2
Author 2 Reis, Ricardo.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-18599-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer Nature Switzerland :
-- Imprint: Springer,
-- 2023.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
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-- rdamedia
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-- online resource
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-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electronic circuits.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Internet of things.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electronic circuit design.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Cooperating objects (Computer systems).
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electronic Circuits and Systems.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Internet of Things.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electronics Design and Verification.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Cyber-Physical Systems.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2690-0327
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-- ZDB-2-SXSC

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