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Attendees at PDC09 this past week were privy to quite a few sessions on parallel computing. Now that the videos of these sessions are online, you can view them as well from the comfort of your own home. Here are some of the key parallelism-related
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Last week, I had the privilege of touring around Tennessee, Kentucky, Ohio, and Michigan, speaking about the new parallel computing support in Visual Studio 2010 and the .NET Framework 4. Many folks I spoke with were interested in getting a copy of the
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“What does Task.Wait do?” Simple question, right? At a high-level, yes, the method achieves what its name implies, preventing the current thread from making forward progress past the call to Wait until the target Task has completed, one way or another.
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The Task abstractions in .NET 4 run on instances of the TaskScheduler class. Two implementations of TaskScheduler ship as part of the .NET Framework 4. The first is the default scheduler, which is integrated with the .NET 4 ThreadPool and
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One of the ways in which the Task Parallel Library achieves good performance is through “work-stealing”. Work-stealing is supported in the .NET 4 ThreadPool for access through the Task Parallel Library and its default scheduler. This manifests
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Prior to the .NET Framework 2.0, unhandled exceptions were largely ignored by the runtime. For example, if a work item queued to the ThreadPool threw an exception that went unhandled by that work item, the ThreadPool would eat that exception and
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Thanks to everyone who attended our PDC pre-conference session yesterday on parallelism and concurrency! We had a wonderful turnout at the event, and David, Joe, and I all had a terrific time. Attached to this post are the slides we presented. (It turns
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A few weeks ago, I presented on Parallel Extensions to the .NET Framework at the 6th annual Microsoft Financial Services Developer Conference (the decks from the conference are now available online ). I had a great time and a great audience, and during
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In a previous post, I talked about implementing the Asynchronous Programming Model pattern using Future<T> from Parallel Extensions to the .NET Framework . It's also possible to go in the opposite direction, to create a Future<T> from an existing
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Frequently when attempting to do multiple operations in parallel, ordering becomes an issue. Consider an application where I'm rendering and writing out to a video file frames of a movie: for ( int i = 0; i < numberOfFrames; i++) { var frame = GenerateFrame(i);
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For those of you that have examined the internals of the Task Parallel Library in our December '07 CTP release, you've likely noticed that the methods on the System.Threading.Parallel type are implemented on top of System.Threading.Tasks.Task type, and
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Charles from Channel 9 sat down with several of us from the Parallel Computing Platform team to discuss the Task Parallel Library component of Parallel Extensions. A video of the conversation is now available on Channel9: http://channel9.msdn.com/Showpost.aspx?postid=384229
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When teaching recursion in an introductory computer science course, one of the most common examples used involves a tree data structure. Trees are useful in this regard as they are simple and recursive in nature, with a tree's children also being trees,
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