技术细节
Mac兼容性 |
N |
页数 |
196 pages |
作者 |
Colin Campbell, Ralph Johnson, Ade Miller, Stephen Toub |
Intended for programmers who write managed code for the .NET Framework on the Microsoft Windows operating system including Visual C#, Visual Basic and Visual F#. No prior knowledge of parallel programming techniques is assumed.
This book describes patterns for parallel programming, with code examples, that use the new parallel programming support in the Microsoft .NET Framework 4.
You can use these patterns to improve your application's performance on multicore computers.
Show C# and VB.NET programmers how to effectively take advantage of the multicore capabilities of modern PCs using the Microsoft platform. The CPU meter shows the problem. One core is running at 100 percent, but all the other cores are idle. Your application is CPU-bound, but you are using only a fraction of the computing power of your multicore system. What next?
The answer, in a nutshell, is parallel programming. Where you once would have written the kind of sequential code that is familiar to all programmers, you now find that this no longer meets your performance goals. To use your system's CPU resources efficiently, you need to split your application into pieces that can run at the same time. This is easier said than done. Parallel programming has a reputation for being the domain of experts and a minefield of subtle, hard-to-reproduce software defects.
Everyone seems to have a favorite story about a parallel program that did not behave as expected because of a mysterious bug. These stories should inspire a healthy respect for the difficulty of the problems you face in writing your own parallel programs. Fortunately, help has arrived. Microsoft Visual Studio 2010 introduces a new programming model for parallelism that significantly simplifies the job. Behind the scenes are supporting libraries with sophisticated algorithms that dynamically distribute computations on multicore architectures. Proven design patterns are another source of help.
Parallel Programming with Microsoft .NET introduces you to the most important & frequently used patterns of parallel programming and gives executable code samples for them, using the Task Parallel Library (TPL) and Parallel LINQ (PLINQ).