Practical Tools for Analyzing Concurrency – Code Stepping

One of the clear differences between the release of Visual Studio 2010 (VS2010) and any of its predecessors is the new support for developing parallel code for multi-core computers. If you are a .NET developer, the 4.0 .NET Framework includes PLINQ and the Task Parallel Library (TPL). If you are a C++ developer, you can…

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University Parallel Computing Research Center (UPCRC) “Summer School”

The UPCRC at the University of Illinois is hosting it’s 2010 Summer School on Multicore Programming (July 19-23), at the Siebel Center for Computer Science.  Microsoft’s participation in this event represents a collaboration between Microsoft Developer & Platform Evangelism, Microsoft Research University Relations and the Technical Computing product team.   We have the privilege of presenting…

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New Parallel Computing Platform (PCP) Developer Resources

The Visual Studio Launch will open a new chapter for Developers writing Windows applications.   Included with Visual Studio 2010 are several new parallel computing technologies and tools.   C++ Developers will discover the C++ Concurrency Runtime and Parallel Patterns Library.   .NET Developers will appreciate the .NET4 Parallel Extensions and Task Parallel Library.   These technologies are accompanied…

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The Parallel Computing Platform @ PDC’09

Attending PDC’09?  Envision building highly concurrent “many-core” applications using Visual Studio 2010? Interested in focused “chalk-talk” sessions directly with members of the PCP Team?   Avoid the crowd…  contact us directly and receive an invitation to join a “PCP Tech-Talk” session.   · Engage in small group or one-on-one discussions. · Gain architectural insight directly from Subject…

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Visual Studio 2010 Beta2 Now Available

Windows Server 2008 R2 represents the latest evolution of the Windows Server operating system and supports high-end hardware systems with large numbers of microprocessors.  R2 features enhanced support for Non-Uniform Memory Access (NUMA) computer architectures and new User-Mode Scheduling (UMS) API’s that effectively enable application developers to "minimize contention and maximize locality" within parallel computing…

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