By Colin Campbell

ISBN-10: 0735651752

ISBN-13: 9780735651753

Your CPU meter indicates an issue. One middle is working at one hundred pc, yet all of the different cores are idle. Your program is CPU-bound, yet you're utilizing just a fraction of the computing energy of your multicore procedure. Is there the way to recuperate performance?The solution, in a nutshell, is parallel programming. the place you as soon as might have written the type of sequential code that's prevalent to all programmers, you currently locate that this now not meets your functionality objectives. to take advantage of your system’s CPU assets successfully, you must break up your program into items which may run even as. after all, this can be more uncomplicated acknowledged than performed. Parallel programming has a name for being the area of specialists and a minefield of refined, hard-to-reproduce software program defects. every body turns out to have a favourite tale a couple of parallel application that didn't behave as anticipated as a result of a mysterious bug.These tales should still encourage a fit appreciate for the trouble of the issues you are going to face in writing your individual parallel courses. thankfully, aid has arrived. The Parallel styles Library (PPL) and the Asynchronous brokers Library introduce a brand new programming version for parallelism that considerably simplifies the activity. backstage are refined algorithms that dynamically distribute computations on multicore architectures. additionally, Microsoft® visible Studio® 2010 improvement process contains debugging and research instruments to help the recent parallel programming model.Proven layout styles are one other resource of support. This consultant introduces you to an important and regularly used styles of parallel programming and gives executable code samples for them, utilizing PPL. while puzzling over the place to start, an outstanding position to begin is to check the styles during this e-book. See in case your challenge has any attributes that fit the six styles offered within the following chapters. If it does, delve extra deeply into the proper development or styles and learn the pattern code.

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Additional resources for A Parallel Programming with Microsoft Visual C++: Design Patterns for Decomposition and Coordination on Multicore Architectures

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Is there a way to use data parallelism in the image blender example? If there is, what are the advantages and disadvantages, compared to the task parallelism discussed here? 2. In the image blender sample, the image processing methods SetToGray and Rotate are void methods that do not return results, but they save their results by updating their second argument. Why don’t they return their results? 3. In the image blender sample that uses task_group::run method, what happens if one of the parallel tasks throws an exception?

Patterns for Parallel Programming. Addison-Wesley, 2004. com/en-us/videos/timmattson-use-and-abuse-of-random-numbers/. , Parallel Patterns Library, Asynchronous Agents Library, & Concurrency Runtime: Patterns and Practices, 2010. aspx? displaylang=en&FamilyID=0e70b21e-3f10-4635-9af2-e2f7bddba4ae. aspx. 25 3 Parallel Tasks Chapter 2, “Parallel Loops,” shows how you can use a parallel loop to apply a single operation to many data elements. This is data parallelism. Chapter 3 explains what happens when there are distinct asynchronous operations that can run simultaneously.

The other stack frames will have an internal exception passed through them. pa r a llel tasks Long-running tasks can use the is_canceling method to poll their task group for its cancellation status and shut themselves down if cancellation has been requested. The is_canceling method might also be used if you need to perform local cleanup actions for a task that’s in the process of being canceled. When the task group returns from a call to its wait method, its state is reset and its is_canceling method thereafter returns false.

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A Parallel Programming with Microsoft Visual C++: Design Patterns for Decomposition and Coordination on Multicore Architectures by Colin Campbell

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