Download e-book for iPad: Exam Ref 70-483: Programming in C# by Wouter de Kort

By Wouter de Kort

Organize for Microsoft examination 70-483 - and aid show your real-world mastery of programming in C#. Designed for skilled software program builders able to enhance their prestige, examination Ref makes a speciality of the critical-thinking and decision-making acumen wanted for achievement on the Microsoft professional point.

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Extra resources for Exam Ref 70-483: Programming in C#

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Parallelism involves taking a certain task and splitting it into a set of related tasks that can be executed concurrently. This also means that you shouldn’t go through your code to replace all your loops with parallel loops. You should use the Parallel class only when your code doesn’t have to be executed sequentially. Increasing performance with parallel processing happens only when you have a lot of work to be done that can be executed in parallel. For smaller work sets or for work that has to synchronize access to resources, using the Parallel class can hurt performance.

Decrement, you create an atomic operation, as Listing 1-40 shows. WriteLine(n); } } } Interlocked guarantees that the increment and decrement operations are executed atomically. No other thread will see any intermediate results. Of course, adding and subtracting is a simple operation. If you have more complex operations, you would still have to use a lock. Interlocked also supports switching values by using the Exchange method. Exchange(ref isInUse, 1) == 0) { } This code retrieves the current value and immediately sets it to the new value in the same operation.

Listing 1-7 shows how this is done. ReadLine(); } } } Because the thread pool limits the available number of threads, you do get a lesser degree of parallelism than using the regular Thread class. But the thread pool also has many advantages. Take, for example, a web server that serves incoming requests. All those requests come in at an unknown time and frequency. The thread pool ensures that each request gets added to the queue and that when a thread becomes available, it is processed. This ensures that your server doesn’t crash under the amount of requests.

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