Data Parallelism and Task Parallelism are common Parallel Computing forms. Task Parallel Library (TPL) bears the "Task Parallel" name, but where does Data Parallel fit into TPL? How is Data Parallel done in the Task Parallel Library? What does Data Parallel look like in the Task Parallel Library? Read on for the answer to these questions.
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Even though WF was not built on TPL, there are TPL features that can make running WF workflows easier. In self-hosted scenarios, for example, a desktop application may be running a workflow. Code examples in this article demonstrate how TPL and WF can work together.
The original release of the .NET Framework included collections as .NET was introduced to the Microsoft programming world. The .NET Framework 2.0 introduced generics to complement the System.Collections namespace and provide a more efficient and well performing option. Read on to learn more...
Learn how to handle Active Object method return values with .NET Framework Tasks.
Task Parallel Library contains all the plumbing a developer will need to implement the Active Object pattern.
The .NET runtime has everything you need to format your output and handle special characters. Both Visual Basic 2010 Express edition and Visual Studio 2010 help you with Intellisense if you can't remember the syntax. This article explores simple console input and output and shows you how to get it done.
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The Transactional File System (TxF), which allows access to an NTFS file system to be conducted in a transacted manner through extensions to the Windows SDK API. MFC 10, has been extended to support TxF and related technologies. This support allows existing MFC applications to be easily extended to support kernel transactions.
String.format is not just a relic from a bygone era, but is actually still very useful even in today's brave new world. It’s time to dig into some data formatting!
Hannes du Preez explains what delegates are and how to use them to call managed and unmanaged code in VB.NET.
This article introduces you to Big Data, Apache Hadoop and MapReduce jobs. We will also learn how to create MapReduce jobs using C#.