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Transactional Memory. Foundations, Algorithms, Tools, and Applications

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Cover of 'Transactional Memory. Foundations, Algorithms, Tools, and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Consistency for Transactional Memory Computing
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    Chapter 2 Liveness in Transactional Memory
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    Chapter 3 Safety and Deferred Update in Transactional Memory
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    Chapter 4 Disjoint-Access Parallelism in Software Transactional Memory
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    Chapter 5 Algorithmic Techniques in STM Design
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    Chapter 6 Conflict Detection in Hardware Transactional Memory
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    Chapter 7 Multi-versioning in Transactional Memory
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    Chapter 8 Framework Support for the Efficient Implementation of Multi-version Algorithms
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    Chapter 9 Nested Parallelism in Transactional Memory
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    Chapter 10 Scheduling-Based Contention Management Techniques for Transactional Memory
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    Chapter 11 Proactive Contention Avoidance
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    Chapter 12 Safe Exception Handling with Transactional Memory
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    Chapter 13 Transactional Memory for Reliability
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    Chapter 14 Verification Tools for Transactional Programs
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    Chapter 15 Introduction to Transactional Replication
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    Chapter 16 Transaction Execution Models in Partially Replicated Transactional Memory: The Case for Data-Flow and Control-Flow
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    Chapter 17 Directory Protocols for Distributed Transactional Memory
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    Chapter 18 Tuning the Level of Concurrency in Software Transactional Memory: An Overview of Recent Analytical, Machine Learning and Mixed Approaches
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    Chapter 19 Self-tuning in Distributed Transactional Memory
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    Chapter 20 Case Study: Using Transactions in Memcached
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Title
Transactional Memory. Foundations, Algorithms, Tools, and Applications
Published by
Lecture notes in computer science, January 2015
DOI 10.1007/978-3-319-14720-8
ISBNs
978-3-31-914719-2, 978-3-31-914720-8
Authors

Rachid Guerraoui, Paolo Romano

Editors

Guerraoui, Rachid, Romano, Paolo

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 February 2015.
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#17,753,591
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Outputs from Lecture notes in computer science
#5,926
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#241,825
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Outputs of similar age from Lecture notes in computer science
#192
of 257 outputs
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