By Stephen Cleary
If you're one of many many builders doubtful approximately concurrent and multithreaded improvement, this functional cookbook will switch your brain. With greater than seventy five code-rich recipes, writer Stephen Cleary demonstrates parallel processing and asynchronous programming options, utilizing libraries and language positive aspects in .NET 4.5 and C# 5.0.
Concurrency is changing into extra universal in responsive and scalable program improvement, yet it's been tremendous tough to code. The precise options during this cookbook express you ways glossy instruments elevate the extent of abstraction, making concurrency a lot more straightforward than sooner than.
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Additional resources for Concurrency in C# Cookbook: Asynchronous, Parallel, and Multithreaded Programming
AsyncEx NuGet package. 8 covers exception handling with async Task methods. 3 covers unit testing async void methods. info CHAPTER 3 Parallel Basics In this chapter, we’ll cover patterns for parallel programming. Parallel programming is used to split up CPU-bound pieces of work and divide them among multiple threads. These parallel processing recipes only consider CPU-bound work. 4 in particular. The parallel processing abstractions covered in this chapter are part of the Task Parallel Library (TPL).
Both linking and unlinking are fully threadsafe. Post(2); // Unlink the blocks. // The data posted above may or may not have already gone through the link. // In real-world code, consider a using block rather than calling Dispose. Dispose(); Discussion Unless you can guarantee that the link is idle, there will be race conditions when you unlink it. However, these race conditions are usually not a concern; data will either flow over the link before the link is broken, or it will not. There are no race conditions that would cause duplication or loss of data.
StartNew. WhenAny. 4. info | 41 AttachedToParent, but they can form an implicit kind of parent/child relationship by awaiting another task. 3 covers invoking a sequence of methods in parallel, when all the methods are known at the start of the parallel work. 5. Parallel LINQ Problem You have parallel processing to perform on a sequence of data, producing another se‐ quence of data or a summary of that data. Solution Most developers are familiar with LINQ, which you can use to write pull-based calcu‐ lations over sequences.