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Concurrency in .NET: Modern patterns of concurrent and parallel programming
by 作者: Riccardo Terrell
ISBN-10 书号: 1617292990
ISBN-13 书号: 9781617292996
Edition 版本: 1
Publisher Finelybook 出版日期: 2018-08-30
Pages: 568
Book Description
Concurrency in .NET teaches you how to build concurrent and scalable programs in .NET using the functional paradigm. This intermediate-level guide is aimed at developers,architects,and passionate computer programmers who are interested in writing code with improved speed and effectiveness by adopting a declarative and pain-free programming style.
Unlock the incredible performance built into your multi-processor machines. Concurrent applications run faster because they spread work across processor cores,performing several tasks at the same time. Modern tools and techniques on the .NET platform,including parallel LINQ,functional programming,asynchronous programming,and the Task Parallel Library,offer powerful alternatives to traditional thread-based concurrency.
Concurrency in .NET teaches you to write code that delivers the speed you need for performance-sensitive applications. Featuring examples in both C# and F#,this book guides you through concurrent and parallel designs that emphasize functional programming in theory and practice. You’ll start with the foundations of concurrency and master essential techniques and design practices to optimize code running on modern multiprocessor systems.
What’s Inside
The most important concurrency abstractions
Employing the agent programming model
Implementing real-time event-stream processing
Executing unbounded asynchronous operations
Best concurrent practices and patterns that apply to all platforms
About the Cover llustration
Part 1: Benefits of functional programming applicable to concurrent programs
Chapter 1: Functional concurrency foundations
Chapter 2: Functional programming techniques for concurrency
PChapter 3: Functional data structures and immutability
Part 2: How to approach the different parts of a concurrent program
Chapter 4: The basics of processing big data: data parallelism,part 1
Chapter 5: PLINQ and MapReduce: data parallelism,part 2
Chapter 6: Real-time event streams: functional reactive programming
Chapter 7: Task-based functional parallelism
Chapter 8: Task asynchronicity for the win
Chapter 9: Asynchronous functional programming in F#
Chapter 10: Functional combinators for fluent concurrent programming
Chapter 11: Applying reactive programming everywhere with agents
Chapter 12: Parallel workflow and agent programming with TPL Dataftlow
Part 3: Modern patterns of concurrent programming applied
Chapter 13: Recipes and design patterns for successful concurrent programming
Chapter 14: Building a scalable mobile app with concurrent functional programming
Appendix A: Functional programming
Appendix B: F# overview
Appendix C: Interoperability between an F# asynchronous workflow and. NET Task
Index
