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Multicore Software Engineering, Performance, and Tools

Overview of attention for book
Cover of 'Multicore Software Engineering, Performance, and Tools'

Table of Contents

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    Book Overview
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    Chapter 1 Processors and Their Collection
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    Chapter 2 Tackling the Testing and Verification of Multicore and Concurrent Software as a Search Problem
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    Chapter 3 Oversubscription of Computational Resources on Multicore Desktop Systems
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    Chapter 4 Capturing Transactional Memory Application’s Behavior – The Prerequisite for Performance Analysis
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    Chapter 5 A Comparison of the Influence of Different Multi-core Processors on the Runtime Overhead for Application-Level Monitoring
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    Chapter 6 Analysis of Event Processing Design Patterns and Their Performance Dependency on I/O Notification Mechanisms
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    Chapter 7 Non-intrusive Coscheduling for General Purpose Operating Systems
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    Chapter 8 Automatic Parallelization Using AutoFutures
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    Chapter 9 Invasive Computing: An Application Assisted Resource Management Approach
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    Chapter 10 Parallel Graph Transformations on Multicore Systems
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    Chapter 11 Reduction of Electronic Control Units in Electric Vehicles Using Multicore Technology
Attention for Chapter 10: Parallel Graph Transformations on Multicore Systems
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3 Mendeley
Summary
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Chapter title
Parallel Graph Transformations on Multicore Systems
Chapter number 10
Book title
Multicore Software Engineering, Performance, and Tools
Published by
Springer, Berlin, Heidelberg, May 2012
DOI 10.1007/978-3-642-31202-1_10
Book ISBNs
978-3-64-231201-4, 978-3-64-231202-1
Authors

Gábor Imre, Gergely Mezei

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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 1 33%
Student > Postgraduate 1 33%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Computer Science 3 100%

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