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Automatic Tuning of Compilers Using Machine Learning

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Cover of 'Automatic Tuning of Compilers Using Machine Learning'

Table of Contents

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    Book Overview
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    Chapter 1 Background
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    Chapter 2 Design Space Exploration of Compiler Passes: A Co-Exploration Approach for the Embedded Domain
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    Chapter 3 Selecting the Best Compiler Optimizations: A Bayesian Network Approach
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    Chapter 4 The Phase-Ordering Problem: An Intermediate Speedup Prediction Approach
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    Chapter 5 The Phase-Ordering Problem: A Complete Sequence Prediction Approach
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    Chapter 6 Concluding Remarks
Attention for Chapter 3: Selecting the Best Compiler Optimizations: A Bayesian Network Approach
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