High Performance Parallel Runtimes
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Michael Klemm
About this book
This book focuses on the theoretical and practical aspects of parallel programming systems for today's high performance multi-core processors and discusses the efficient implementation of key algorithms needed to implement parallel programming models. Such implementations need to take into account the specific architectural aspects of the underlying computer architecture and the features offered by the execution environment.
This book briefly reviews key concepts of modern computer architecture, focusing particularly on the performance of parallel codes as well as the relevant concepts in parallel programming models. The book then turns towards the fundamental algorithms used to implement the parallel programming models and discusses how they interact with modern processors.
While the book will focus on the general mechanisms, we will mostly use the Intel processor architecture to exemplify the implementation concepts discussed but will present other processor architectures where appropriate. All algorithms and concepts are discussed in an easy to understand way with many illustrative examples, figures, and source code fragments.
The target audience of the book is students in Computer Science who are studying compiler construction, parallel programming, or programming systems. Software developers who have an interest in the core algorithms used to implement a parallel runtime system, or who need to educate themselves for projects that require the algorithms and concepts discussed in this book will also benefit from reading it.
You can find the source code for this book at https://github.com/parallel-runtimes/lomp.
Source code downloads with code examples used throughout the book. Cover all implementation aspects of such programming systems.
Author / Editor information
Michael Klemm, München
Jim Cownie, Bristol UK
Topics
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Frontmatter
I -
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Foreword
V -
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Preface
IX -
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Contents
XI -
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List of figures
XVII -
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Listings
XIX -
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List of tables
XXIII -
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Glossary
XXV -
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1 Setting the stage
1 -
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2 Parallel programming models and concepts
11 -
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3 Many-core and multi-core computer architectures
48 -
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4 Compiler and runtime interaction
90 -
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5 Fundamental parallel runtime mechanisms
127 -
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6 Mutual exclusion and atomicity
146 -
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7 Barriers and reductions
194 -
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8 Scheduling parallel loops
228 -
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9 Runtime support for task-parallel models
259 -
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10 Summary and final thoughts
304 -
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Bibliography
307 -
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Index
315 -
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List of acronyms
327
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Walter de Gruyter GmbH
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10785 Berlin
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