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Post-Silicon Validation and Debug

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Cover of 'Post-Silicon Validation and Debug'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Post-Silicon SoC Validation Challenges
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    Chapter 2 SoC Instrumentations: Pre-Silicon Preparation for Post-Silicon Readiness
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    Chapter 3 Structural Signal Selection for Post-Silicon Validation
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    Chapter 4 Simulation-Based Signal Selection
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    Chapter 5 Hybrid Signal Selection
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    Chapter 6 Post-Silicon Signal Selection Using Machine Learning
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    Chapter 7 Observability-Aware Post-Silicon Test Generation
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    Chapter 8 On-Chip Constrained-Random Stimuli Generation
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    Chapter 9 Test Generation and Lightweight Checking for Multi-core Memory Consistency
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    Chapter 10 Selection of Post-Silicon Hardware Assertions
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    Chapter 11 Debug Data Reduction Techniques
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    Chapter 12 High-Level Debugging of Post-Silicon Failures
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    Chapter 13 Post-Silicon Fault Localization with Satisfiability Solvers
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    Chapter 14 Coverage Evaluation and Analysis of Post-Silicon Tests with Virtual Prototypes
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    Chapter 15 Utilization of Debug Infrastructure for Post-Silicon Coverage Analysis
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    Chapter 16 Network-on-Chip Validation and Debug
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    Chapter 17 Post-Silicon Validation of the IBM POWER8 Processor
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    Chapter 18 SoC Security Versus Post-Silicon Debug Conflict
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    Chapter 19 The Future of Post-Silicon Debug
Attention for Chapter 17: Post-Silicon Validation of the IBM POWER8 Processor
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Chapter title
Post-Silicon Validation of the IBM POWER8 Processor
Chapter number 17
Book title
Post-Silicon Validation and Debug
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-319-98116-1_17
Book ISBNs
978-3-31-998115-4, 978-3-31-998116-1
Authors

Tom Kolan, Hillel Mendelson, Amir Nahir, Vitali Sokhin, Kolan, Tom, Mendelson, Hillel, Nahir, Amir, Sokhin, Vitali

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Researcher 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Materials Science 1 33%
Engineering 1 33%