By Adam Freeman
Parallel programming has been revolutionised in .NET four, supplying, for the 1st time, a standardised and simplified strategy for growing strong, scalable and trustworthy multi-threaded functions. The Parallel programming positive aspects of .NET four enable the programmer to create functions that harness the facility of multi-core and multi-processor machines. easier to take advantage of and extra robust than “classic” .NET threads, parallel programming permits the developer to stay enthusiastic about the paintings an program must practice. In professional .NET four Parallel Programming in C#, Adam Freeman provides specialist suggestion that courses you thru the method of making concurrent C# purposes from the floor up. You’ll be brought to .NET’s parallel programming gains, either outdated and new, observe the most important performance that has been brought in .NET four, and find out how you could benefit from the ability of multi-core and multi-processor machines conveniently. seasoned .NET four Parallel Programming in C# is a competent better half that would stay with you as you discover the parallel programming universe, elegantly and comprehensively explaining all elements of parallel programming, guiding you round strength pitfalls and delivering straight forward ideas to the typical difficulties that you're going to come across. What you’ll research enhance scalable and powerful parallel purposes in C# layout, try out and use parallel algorithms and information buildings comprehend and enforce universal parallel layout styles keep away from universal anti-patterns and difficulties Use visible Studio to ensure and debug parallel purposes Who this e-book is for This e-book is for .NET builders encountering parallel or multi-threaded programming for the 1st time. No previous wisdom of multi-threaded programming is needed, however the reader could be accustomed to simple programming in C# utilizing visible Studio. desk of Contents Introducing Parallel Programming activity Programming Sharing facts Coordinating initiatives Parallel Loops Parallel LINQ trying out and Debugging universal Parallel Algorithms
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Extra info for Pro .NET 4 Parallel Programming in C# (Pro Series)
Wait(Int32) Wait for the specified number of milliseconds to pass or for the Task to complete, be cancelled, or throw an exception (whichever happens first). Wait(TimeSpan) Wait until the specified TimeSpan has passed or for the Task to complete, be cancelled, or throw an exception (whichever happens first). Wait(Int32, CancellationToken) Wait for the specified number of milliseconds to pass, for the CancellationToken to be cancelled, or for the Task to complete, be cancelled, or throw an exception (whichever happens first).
NET Framework doesn’t force your tasks to finish; you have to monitor the CancellationToken you used to create your task and stop your task when you detect that a cancellation has been requested. NET Framework to avoid starting tasks that rely on tokens that have already been cancelled. Table 2-3 provides a quick summary of the different mechanisms available for cancelling tasks, each of which I describe in the following sections. Table 2-3. Canceling Tasks 16 Problem Solution Listing Create a cancellable task.
Solution The simplest way to fix this problem is to pass the loop counter in as a state object to the Task. Example In the following example, five Tasks print out a message that references the counter of the loop that created them, and they all print the same value. Another five Tasks do the same thing, but get their values as state objects, and these get the expected values. WriteLine("Main method complete. SpinWait() method or by entering a code loop). For anything other than exceptionally short waits, spin waiting and code loops will cripple the performance of your parallel program, because avoiding a wait also avoids freeing up a thread for execution.