Packt Publishing, 2013. — 336 p. — ISBN 978-1-84969-022-5. На англ. языке.
.NET parallel extensions brings the power of parallel and asynchronous programming to a much wider developer audience than ever before. This book will give a developer with no multithreaded development experience the ability to write highly scalable parallel applications that take advantage of modern multicore processors.If you are an experienced .NET developer who wants to put parallel extensions to work in your applications, this book is for you..NET 4.5 Parallel Extensions is a practical, hands-on guide that provides you with a number of clear step-by-step recipes that will introduce parallelism into your applications and take advantage of modern multicore processors. This book is a crash course in using the extensions, with theory and concepts kept to a minimum..NET 4.5 Parallel Extensions offers a wide-ranging presentation of parallel development concepts, and provides a working knowledge of key technologies that are important to developers who want to take advantage of multi-core architectures.You will learn how to compose a series of producer/consumer tasks into a pipeline that can process data elements received from a real-time event stream. You will also learn how to connect the stages of pipelines together using the concurrent collections. You will learn everything you need to know to transform the multicore power found in modern processors into application performance and scalability.What you will learn from this book: Create a task using Parallel.Invoke, Task.Factory, and Task.Start Work with declarative data parallelism using Parallel Language Integrated Query (PLINQ) and its aggregate functions. Perform independent operations on the member data of a collection using parallel loops. Coordinate the activities of multiple tasks using new lightweight synchronization primitives. Learn to use Visual Studio 2012 debugging and profiling capabilities related to parallel programming. Maintain a responsive UI using asynchronous tasks. Create a pipeline using multiple concurrent collections.
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