By Colin Campbell, Ralph Johnson, Visit Amazon's Ade Miller Page, search results, Learn about Author Central, Ade Miller, , Stephen Toub
The CPU meter exhibits the matter. One middle is operating at one hundred pc, yet the entire different cores are idle. Your software is CPU-bound, yet you're utilizing just a fraction of the computing strength of your multicore method. What subsequent? the reply, in a nutshell, is parallel programming. the place you as soon as may have written the type of sequential code that's generic to all programmers, you presently locate that this now not meets your functionality objectives. to take advantage of your system’s CPU assets successfully, you must cut up your software into items that could run even as. this is often more uncomplicated acknowledged than performed. Parallel programming has a name for being the area of specialists and a minefield of sophisticated, hard-to-reproduce software program defects. everybody turns out to have a favourite tale a couple of parallel application that didn't behave as anticipated due to a mysterious malicious program. those tales may still motivate a fit admire for the trouble of the issues you face in writing your individual parallel courses. thankfully, aid has arrived. Microsoft visible Studio® 2010 introduces a brand new programming version for parallelism that considerably simplifies the task. backstage are helping libraries with refined algorithms that dynamically distribute computations on multicore architectures. confirmed layout styles are one other resource of support. A advisor to Parallel Programming introduces you to an important and often used styles of parallel programming and offers executable code samples for them, utilizing the duty Parallel Library (TPL) and Parallel LINQ (PLINQ).
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Additional resources for Parallel Programming with Microsoft .NET: Design Patterns for Decomposition and Coordination on Multicore Architectures (Patterns & Practices)
For more information about how tasks are scheduled, see the section, “The Default Task Scheduler,” later in this chapter. Invoke can either complete normally or finish by throwing an exception. Invoke are deferred and rethrown when all tasks finish. All exceptions are rethrown as inner exceptions of an AggregateException instance. For more information and a code example, see the section, “Handling Exceptions,” later in this chapter. Invoke creates new tasks and waits for them. It uses methods of the Task class to do this.
The query in the code example will run with a maximum of eight tasks at any one time. If you specify a larger degree of parallelism, you may also want to use the ThreadPool class’s SetMinThreads method so that these threads are created without delay. If you don’t do this, the thread pool’s thread injection algorithm may limit how quickly threads can be added to the pool of worker threads that is used by the parallel loop. It may take more time than you want to create the required number of threads.
ForEach method has additional overloaded versions. ” Don’t forget that iterations need to be independent. The loop body must only make updates to fields of the particular instance that’s passed to it. 16 ch a pter t wo You can convert LINQ expressions to parallel code with the AsParallel extension method. NET Framework includes a parallel version named PLINQ (Parallel LINQ). There are many options and variations for expressing PLINQ queries but almost all LINQ-to-Objects expressions can easily be converted to their parallel counterpart by adding a call to the AsParallel extension method.
Parallel Programming with Microsoft .NET: Design Patterns for Decomposition and Coordination on Multicore Architectures (Patterns & Practices) by Colin Campbell, Ralph Johnson, Visit Amazon's Ade Miller Page, search results, Learn about Author Central, Ade Miller, , Stephen Toub