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It’s awesome to see the Reactive Extensions to .NET (Rx) live on the DevLabs site. If you haven’t checked out this exciting project, we urge you to do so. Not only is it cool and useful technology, but the download includes a back ported (and
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PLINQ enables developers to scale up computations in order to leverage the multiple cores available in modern hardware. For many problem domains, this is quite useful and sufficient. What happens, however, when a workload being processed is so big that
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Included in the .NET 4 Framework Beta 2 is a more robust and faster version of PLINQ. Between B1 and B2, PLINQ changes have mainly been under the covers, so hopefully no need to rewrite any of your applications to see the improvements. 1. Many improvements
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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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Common operations like map and filter are available in parallelized form through PLINQ, though the names differ. A map can be achieved with PLINQ’s Select operator, and a filter with PLINQ’s Where operator. For example, I could implement a ParallelMap
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In this post, we’ll investigate some ways that Parallel Extensions can be used to introduce parallelism and asynchrony to I/O scenarios. Here’s a simple scenario. I want to retrieve data from a number of web resources. static string[] Resources = new
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One of the great features that crosses all of Parallel Extensions types is a consistent approach to cancellation (see http://blogs.msdn.com/pfxteam/archive/2009/05/22/9635790.aspx ). In this post we explore some of the ways cancellation is used in Parallel
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As Ed Essey explained in Partitioning in PLINQ , partitioning is an important step in PLINQ execution. Partitioning splits up a single input sequence into multiple sequences that can be processed in parallel. This post further explains chunk partitioning,
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We exert a good deal of effort ensuring that the APIs we provide are consistent within Parallel Extensions as well as with the rest of the .NET Framework. This is from many angles, including behavior and general design, but also naming. So
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Along with the release of the .NET Framework 4 Beta 1 , we've just published a slew of samples that demonstrate using Parallel Extensions in a variety of ways. You can download these from Code Gallery at http://code.msdn.microsoft.com/ParExtSamples .
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A number of improvements have been made to Parallel Extensions since the Visual Studio 2010 CTP across the Task Parallel Library (TPL), Parallel LINQ (PLINQ), and our coordination data structures. You can find the latest on TPL ( 1 2 3 ) and the data
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Brad Abrams posted about a cool .NET Framework 4.0 poster which was distributed at the PDC last week and which you can download . Zoom in on the CORE section right in the middle for a glimpse into the parallelism support in .NET 4.0.
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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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There is a natural tension between ordering and performance in a parallel partitioning system such as PLINQ, which we addressed as guidance in the Dec07 CTP documentation: “Although you can opt into ordering, this does come at a cost to performance
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When I was at TechEd 2008 Developer last week, I met up with the great Dan Fernandez from Channel 9 to show off Parallel Extensions and to demonstrate some of the sample applications included with our June 2008 CTP . The cameras were at the ready, so
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