Showing 151 - 160 of 227 results for “stephen toub”

Implementing Parallel While with Parallel.ForEach

August 12, 2009 Aug 12, 2009 08/12/09

The Parallel class in .NET 4 includes methods that implement three parallel constructs: parallelized for loops (Parallel.For), parallelized foreach loops (Parallel.ForEach), and parallelized statement regions (Parallel.Invoke). One of the interesting things about Parallel.Invoke is that, in some cases and at least in the current ...

.NET Parallel Programming

Parallelized Map and Filter Operations

October 12, 2009 Oct 12, 2009 10/12/09

Stephen Toub - MSFT

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 operation that takes in one array and returns another as follows: public ...

.NET Parallel Programming

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F# and the Task Parallel Library

December 19, 2007 Dec 19, 2007 12/19/07

Stephen Toub - MSFT

Over on his blog, Don Syme has a post about F# and Parallel Extensions: "Over the coming year I expect we'll be seeing this library used very widely from F#, and we'll eventually be using the TPL as a key underlying technology for F# asynchronous workflows. TPL excels at CPU-intensive parallelism and exploiting multiple cores, ...

.NET Parallel Programming

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Custom Loop with Arbitrary Initialization, Condition, and Update

July 27, 2008 Jul 27, 2008 07/27/08

Stephen Toub - MSFT

The Parallel.For loop construct provided by Parallel Extensions is focused on providing a parallel alternative to the common sequential pattern of a for loop that iterates over a range of numbers. However, the for loop construct in a language like C# is not limited just to numbers and iterating over ranges. It supports arbitrary ...

.NET Parallel Programming

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Custom parallel looping constructs

February 27, 2008 Feb 27, 2008 02/27/08

Stephen Toub - MSFT

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 that they do so taking advantage of Task's self-replicating functionality. The idea ...

.NET Parallel Programming

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TaskCreationOptions.PreferFairness

July 7, 2009 Jul 7, 2009 07/7/09

Stephen Toub - MSFT

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 as every thread in the ThreadPool having its own queue for work; when that ...

.NET Parallel Programming

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Interested in parallel computing? We’re hiring!

July 10, 2009 Jul 10, 2009 07/10/09

Stephen Toub - MSFT

If you're reading this post, you most likely have an interest in parallel or distributed computing, writing concurrent software, and the like. Take that interest a step further, and help us make the manycore era a successful reality by coming to work on the Parallel Computing Platform team at Microsoft.We currently have several positions...

.NET Parallel Programming

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TaskScheduler.FromCurrentSynchronizationContext

September 22, 2009 Sep 22, 2009 09/22/09

Stephen Toub - MSFT

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 takes advantage of its work-stealing queues. The second is the type of TaskScheduler ...

.NET Parallel Programming

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Tasks and the Event-based Asynchronous Pattern

June 19, 2009 Jun 19, 2009 06/19/09

Stephen Toub - MSFT

As has been discussed previously, one of the new features in the Task Parallel Library is TaskCompletionSource<TResult>, which enables the creation of a Task<TResult> that represents any other asynchronous operation. There are a wide variety of sources in the .NET Framework for asynchronous work. One comes from ...

.NET Parallel Programming

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ParallelOptions.MaxDegreeOfParallelism vs PLINQ’s WithDegreeOfParallelism

May 29, 2009 May 29, 2009 05/29/09

Stephen Toub - MSFT

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 when there are slight differences in naming, it raises questions.One occurrence of such a ...

.NET Parallel Programming

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Showing 151 - 160 of 227 results for “stephen toub”

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Implementing Parallel While with Parallel.ForEach

Parallelized Map and Filter Operations

F# and the Task Parallel Library

Custom Loop with Arbitrary Initialization, Condition, and Update

Custom parallel looping constructs

TaskCreationOptions.PreferFairness

Interested in parallel computing? We’re hiring!

TaskScheduler.FromCurrentSynchronizationContext

Tasks and the Event-based Asynchronous Pattern

ParallelOptions.MaxDegreeOfParallelism vs PLINQ’s WithDegreeOfParallelism