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Parallel Programming with .NET
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Parallel Programming with .NET
Asynchronous programming in .NET survey
Posted
over 3 years ago
by
phillips.joshua
2
Comments
Update: The survey is now closed. Thanks to all that participated! We’ve heard our customers’ frustrations with asynchronous programming and their call for improved support. We are hoping to better understand why and how you and...
Parallel Programming with .NET
Parallel Computing at Imagine Cup 2009
Posted
over 3 years ago
by
Stephen Toub - MSFT
0
Comments
On Wednesday, Microsoft announced the Imagine Cup 2009 worldwide winners: http://www.microsoft.com/presspass/press/2009/jul09/07-07ImagineCup2009WinnersPR.mspx Congratulations to Team Biollel that took first place in the Parallel Computing Award for...
Parallel Programming with .NET
Interested in parallel computing? We’re hiring!
Posted
over 3 years ago
by
Stephen Toub - MSFT
2
Comments
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...
Parallel Programming with .NET
Parallel.Invoke() vs. Explicit Task Management
Posted
over 3 years ago
by
cristina manu
6
Comments
Parallel Extensions offers a large variety of APIs supporting parallelism. During this blog the discussion will be focused on the methodology for making a choice between two of the new Parallel Extensions concepts: parallelism achieved by using Parallel...
Parallel Programming with .NET
TaskCreationOptions.PreferFairness
Posted
over 3 years ago
by
Stephen Toub - MSFT
0
Comments
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...
Parallel Programming with .NET
Processing Streams with PLINQ
Posted
over 3 years ago
by
Igor Ostrovsky - MSFT
3
Comments
In many data-parallel scenarios, all of the data to be processed is available immediately. This blog post addresses the opposite scenario: the inputs arrive gradually (as if in a stream), and we want to start producing results even before reading the...
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