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VLSI-SoC: Design and Engineering of Electronics Systems Based on New Computing Paradigms

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Cover of 'VLSI-SoC: Design and Engineering of Electronics Systems Based on New Computing Paradigms'

Table of Contents

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    Book Overview
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    Chapter 1 A 65 nm CMOS Synthesizable Digital Low-Dropout Regulator Based on Voltage-to-Time Conversion with 99.6% Current Efficiency at 10-mA Load
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    Chapter 2 An Instruction Set Architecture for Secure, Low-Power, Dynamic IoT Communication
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    Chapter 3 The Connection Layout in a Lattice of Four-Terminal Switches
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    Chapter 4 Building High-Performance, Easy-to-Use Polymorphic Parallel Memories with HLS
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    Chapter 5 Rectification of Arithmetic Circuits with Craig Interpolants in Finite Fields
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    Chapter 6 Energy-Accuracy Scalable Deep Convolutional Neural Networks: A Pareto Analysis
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    Chapter 7 ReRAM Based In-Memory Computation of Single Bit Error Correcting BCH Code
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    Chapter 8 Optimizing Performance and Energy Overheads Due to Fanout in In-Memory Computing Systems
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    Chapter 9 Mapping Spiking Neural Networks on Multi-core Neuromorphic Platforms: Problem Formulation and Performance Analysis
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    Chapter 10 Improved Test Solutions for COTS-Based Systems in Space Applications
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    Chapter 11 Analysis of Bridge Defects in STT-MRAM Cells Under Process Variations and a Robust DFT Technique for Their Detection
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    Chapter 12 Assessment of Low-Budget Targeted Cyberattacks Against Power Systems
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    Chapter 13 Efficient Hardware/Software Co-design for NTRU
Attention for Chapter 10: Improved Test Solutions for COTS-Based Systems in Space Applications
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Citations

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Chapter title
Improved Test Solutions for COTS-Based Systems in Space Applications
Chapter number 10
Book title
VLSI-SoC: Design and Engineering of Electronics Systems Based on New Computing Paradigms
Published by
Springer, Cham, October 2018
DOI 10.1007/978-3-030-23425-6_10
Book ISBNs
978-3-03-023424-9, 978-3-03-023425-6
Authors

Riccardo Cantoro, Sara Carbonara, Andrea Florida, Ernesto Sanchez, Matteo Sonza Reorda, Jan-Gerd Mess, Cantoro, Riccardo, Carbonara, Sara, Floridia, Andrea, Sanchez, Ernesto, Sonza Reorda, Matteo, Mess, Jan-Gerd

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Medicine and Dentistry 1 50%

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