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Concurrent Programming on Windows
- By Joe Duffy
- Published Oct 28, 2008 by Addison-Wesley Professional. Part of the Microsoft Windows Development Series series.
- Copyright 2009
- Dimensions: 7x9-1/4
- Pages: 1008
- Edition: 1st
- Book
- ISBN-10: 0-321-43482-X
- ISBN-13: 978-0-321-43482-1
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Product Author Bios
Joe Duffy is the development lead, architect, and founder of the Parallel Extensions to the .NET Framework team at Microsoft. In addition to hacking code and managing a team of developers, he works on long-term vision and incubation efforts, such as language and type system support for concurrency safety. He previously worked on the Common Language Runtime team. Joe blogs regularly at www.bluebytesoftware.com/blog.
Podcasts
Concurrent
Programming on Windows
Visual Studio 2010, Part 2 of 2 - Tooling Support for Concurrency and Parallelism
“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.
Author's Site
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17 of 17 people found the following review helpful
One of the best books on the topic, By
This review is from: Concurrent Programming on Windows (Paperback)
I'll split my review into 3 parts:Know what you get (book's goals): 4/10. The book is a bit "all over the place". It's hard to understand the intent of the book -- it's a bit too theoretical for a "pragmatic concurrent development" that it claims to be which makes the entire book a bit fuzzy and way too long. The problem with this kind of books that you usually can't read all (reading 800+ pages is too much for most people) and you're afraid of missing important parts. Coverage: 9/10. This book is a great "ref" book in my bookshelf, it explains high level architecture to very deep bits&bytes usage in a very readable fashion. I've got a list of pages that I recommended every one of our developers to read, starting from basic things and dive into data structures, interesting pitfalls and solutions and specific tips & tricks that I found very interesting during my reading. Relevance: 10/10. This is a must have book for windows developers (especially for... Read more
52 of 62 people found the following review helpful
Disappointing,
This review is from: Concurrent Programming on Windows (Paperback)
I really wanted to like this book, but in the end I couldn't. It seems to me to be at least twice as long as it needs to be, extremely poorly and confusingly written, and a mish-mash of random odds and ends. I don't think the author has really worked out who his target audience is. Is it people who have a serious interest in the logic of concurrent programming - in which case you'd be better off reading the original papers by the likes of Dijkstra and Hoare, or the much much shorter book by Ben-Ari? Or is it aimed at people who want to write concurrent programs that work on Windows? In which case you'd be better off reading the much shorter book by Beveridge and Wiener.Proof-reading and quality control is shoddy. For example, I have the distinct impression that at some point some-one has done a global replace of "task" with "thread" in the text, resulting in jibber-jabber such as "though it's highly unlikely that anybody reading this book will have to take on such a thread" on... Read more
9 of 11 people found the following review helpful
Right mix of theory and practice with lots of Win32, Vista, and .Net API Usage examples,
This review is from: Concurrent Programming on Windows (Paperback)
This book has just the right mix of theory and practical advice to help one learn how to write safe and reliable concurrent applications for the Windows Platform. It is organized into five parts. Part One consists of two introductory chapters on program state management concepts such as synchronization etc. Part Two discusses mechanisms available in the Windows Platform to support concurrent programming: from heavier-weight kernel objects such as Mutexes and Semaphores to lighter-weight and higher-level abstractions such as Monitors, Thread Pools, and Asynchronous Programming Models. Part Three delves into concurrency hazards (e.g., race conditions, deadlocks) to watch out for and data structures (e.g., parallel containers) and techniques that one can use for certain kinds of problems. Part Four culminates in detailed discussions of asynchronous mechanisms for dealing with potentially expensive I/O and GUI operations. Finally, Part Five consists of two appendices: The first...
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Online Sample Chapter
Concurrent Programming on Windows: Synchronization and Time
Sample Pages
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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