10 tips on how to prevent business value risk
One category of risk that project teams need to ensure they address is business value failure – delivering a product that fails to provide value for the business investor.
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Posted by Abel Avram on Sep 02, 2010
The patterns&practices team has released Parallel Programming with Microsoft .NET, a book containing guidance for writing parallel programs for .NET. In essence the book contains 6 design patterns for parallel programming accompanied by code samples.
Parallel Programming with Microsoft .NET attempts to deal with the difficult job of decomposing a problem in multiple tasks which can be run in parallel, coordinating the parallel tasks and using data sharing between tasks in order to avoid the need for synchronization which dramatically can affect the performance of a parallel program. For that purpose, the book introduces 6 design patterns used with .NET 4 Task Parallel Library (TPL) and PLINQ:
Each design pattern is accompanied by C#, VB.NET and F# code samples, all available on the Parallel Programming with Microsoft .NET project on CodePlex. The project mentions the intent of the patterns&practices team to produce a companion book for C++ developers using the Parallel Patterns Library (PPL) and Asynchronous Agents Library.
The guide contains advice on integrating the parallel design patterns with other OOP patterns such as Façades, Decorators, and Repositories. It also shows how to debug and profile parallel applications in Visual Studio 2010.
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Parallel programming will soon be an essential skill set of any programmer. I've done my fair share, as lots have, and I know that each time the experience was like a dentist visit - developing the code was a nightmare but, once done, the results were wonderful.
To have some material, such as SAMPLES and 'accessable' reading matter available to other-than-Master-Jedi-programmers, the black art of parallel programming will seem less arcane and, with hope, more natural.
Full-features languages like C# and rather (for now) escoteric languages like F# are in the right place to exploit parallelism. And the .NET platform is widely used, robust and getting better with each release (and, no, I'm not a Microsoft bigot!)
Machines with multiple cores are the norm. In 5 years, how many cores and how much memory will be on 'standard' desktops? 16 cores? 128 gig? Imagine the tasks deemed impractical today because of resource limitations will be implemented!
It's a great time to be in this business...
One category of risk that project teams need to ensure they address is business value failure – delivering a product that fails to provide value for the business investor.
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