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Concurrent Programming on Windows

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Concurrent Programming on Windows

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Description

  • Copyright 2009
  • Dimensions: 7x9-1/4
  • Pages: 1008
  • Edition: 1st
  • Book
  • ISBN-10: 0-321-43482-X
  • ISBN-13: 978-0-321-43482-1

“When you begin using multi-threading throughout an application, the importance of clean architecture and design is critical. . . . This places an emphasis on understanding not only the platform’s capabilities but also emerging best practices. Joe does a great job interspersing best practices alongside theory throughout his book.”

– From the Foreword by Craig Mundie, Chief Research and Strategy Officer, Microsoft Corporation

Author Joe Duffy has risen to the challenge of explaining how to write software that takes full advantage of concurrency and hardware parallelism. In Concurrent Programming on Windows, he explains how to design, implement, and maintain large-scale concurrent programs, primarily using C# and C++ for Windows.

Duffy aims to give application, system, and library developers the tools and techniques needed to write efficient, safe code for multicore processors. This is important not only for the kinds of problems where concurrency is inherent and easily exploitable—such as server applications, compute-intensive image manipulation, financial analysis, simulations, and AI algorithms—but also for problems that can be speeded up using parallelism but require more effort—such as math libraries, sort routines, report generation, XML manipulation, and stream processing algorithms.

Concurrent Programming on Windows has four major sections: The first introduces concurrency at a high level, followed by a section that focuses on the fundamental platform features, inner workings, and API details. Next, there is a section that describes common patterns, best practices, algorithms, and data structures that emerge while writing concurrent software. The final section covers many of the common system-wide architectural and process concerns of concurrent programming.

This is the only book you’ll need in order to learn the best practices and common patterns for programming with concurrency on Windows and .NET.

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Concurrent Programming on Windows: Synchronization and Time

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Table of Contents

Foreword xix

Preface xxiii

Acknowledgments xxvii

About the Author xxix

Part I: Concepts 1

Chapter 1: Introduction 3

Why Concurrency? 3

Program Architecture and Concurrency 6

Layers of Parallelism 8

Why Not Concurrency? 10

Where Are We? 11

Chapter 2: Synchronization and Time 13

Managing Program State 14

Synchronization: Kinds and Techniques 38

Where Are We? 73

Part II: Mechanisms 77

Chapter 3: Threads 79

Threading from 10,001 Feet 80

The Life and Death of Threads 89

Where Are We? 124

Chapter 4: Advanced Threads 127

Thread State 127

Inside Thread Creation and Termination 152

Thread Scheduling 154

Where Are We? 180

Chapter 5: Windows Kernel Synchronization 183

The Basics: Signaling and Waiting 184

Using the Kernel Objects 211

Where Are We? 251

Chapter 6: Data and Control Synchronization 253

Mutual Exclusion 255

Reader/Writer Locks (RWLs) 287

Condition Variables 304

Where Are We? 312

Chapter 7: Thread Pools 315

Thread Pools 101 316

Windows Thread Pools 323

CLR Thread Pool 364

Performance When Using the Thread Pools 391

Where Are We? 398

Chapter 8: Asynchronous Programming Models 399

Asynchronous Programming Model (APM) 400

Event-Based Asynchronous Pattern 421

Where Are We? 427

Chapter 9: Fibers 429

An Overview of Fibers 430

Using Fibers 435

Additional Fiber-Related Topics 445

Building a User-Mode Scheduler 453

Where Are We? 473

Part III: Techniques 475

Chapter 10: Memory Models and Lock Freedom 477

Memory Load and Store Reordering 478

Hardware Atomicity 486

Memory Consistency Models 506

Examples of Low-Lock Code 520

Where Are We? 541

Chapter 11: Concurrency Hazards 545

Correctness Hazards 546

Liveness Hazards 572

Where Are We? 609

Chapter 12: Parallel Containers 613

Fine-Grained Locking 616

Lock Free 632

Coordination Containers 640

Where Are We? 654

Chapter 13: Data and Task Parallelism 657

Data Parallelism 659

Task Parallelism 684

Message-Based Parallelism 719

Cross-Cutting Concerns 720

Where Are We? 732

Chapter 14: Performance and Scalability 735

Parallel Hardware Architecture 736

Speedup: Parallel vs. Sequential Code 756

Spin Waiting 767

Where Are We? 781

Part IV: Systems 783

 

Chapter 15: Input and Output 785

Overlapped I/O 786

I/O Cancellation 822

Where Are We? 826

Chapter 16: Graphical User Interfaces 829

GUI Threading Models 830

.NET Asynchronous GUI Features 837

Where Are We? 860

Part V: Appendices 863

Appendix A: Designing Reusable Libraries for Concurrent .NET Programs 865

The 20,000-Foot View 866

The Details 867

Appendix B: Parallel Extensions to .NET 887

Task Parallel Library 888

Parallel LINQ 910

Synchronization Primitives 915

Concurrent Collections 924

Index 931

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