Executing Iterations in Parallel in C#.NET

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Executing Iterations in Parallel
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iterations In the context of parallel for execution, however, break identifies that no new iterations following the breaking iteration should start All currently executing iterations will run to completion For example, given the following circumstances:
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A total of ten iterations numbered sequentially from 1 to 10 Iteration 1 has run to completion Iterations 3, 5, 7, and 9 are currently executing (remember, the order
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of execution is determined by the task scheduler and is not necessarily sequential)
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A break (ParallelLoopStateBreak()) executes on iterations 5 and 7
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at the conclusion of the parallel loop, iterations 1 through 5, 7, and 9 will complete Iterations 6 and 8 will not complete (they never even started before 5 was canceled) To determine the lowest iteration to execute a break and identify whether the break prevented one or more iterations from starting, the parallel For()/Foreach() method returns a SystemThreadingParallelLoopResult object This result object has the following properties:
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IsCompleted: returns a Boolean indicating whether all iterations
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LowestBreakIteration: identifies the lowest iteration that executed a
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break The value is of type long , where a value of null indicates no break statement was encountered Returning to the ten-iteration example, the IsCompleted property will return false and the LowestBreakIteration will return a value of 5 The C# break statement equivalent is possible using the ParallelLoopStateBreak() method where the ParallelLoopState is a type parameter on the Action<int, ParallelLoopState> specified in some of the parallel For()/Foreach()loop overloads In addition to ParallelLoopStateBreak() there is also a ParallelLoopStateStop() The behavior is similar to break except that iterations that have not yet started, even those prior to the iteration executing the
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18: Multithreading ParallelLoopStateStop(), will not be allowed to start Returning to the
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ten-iteration example but replacing the break with a stop (ParallelLoopStateStop()) will vary the results slightly Instead of iterations 1 through 7 executing through completion, only the odd iterations will run to completion Further overloads on both parallel functions include Func<TLocal> and Action<TLocal> parameters for handling initialization and final execution expressions, respectively, for each task used in the parallel loop Overloads are available for passing state regarding early exit to be passed between iterations
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Running LINQ Queries in Parallel
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With Listing 1810, we enumerate over the collection using ParallelForEach<T>() It is also possible to execute LINQ queries in parallel using the Parallel LINQ API, PLINQ Consider Listing 1813
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Listing 1813: LINQ Select()
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using SystemLinq; class Cryptographer { // public List<string> SynchronousEncrypt(List<string> data) { return dataSelect( (item) => Encrypt(item))ToList(); } // }
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In Listing 1813, we have a LINQ query using the Select() standard query operator to encrypt each string within the collection Consider the same code in Listing 1814, except that in this listing, the code encrypts the strings in parallel
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Listing 1814: Parallel LINQ Select()
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using SystemLinq; class Cryptographer
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{ // public List<string> ParallelEncrypt(List<string> data) { return dataAsParallel()Select( (item) => Encrypt(item))ToList(); } // }
As Listing 1814 shows, the change to enable parallel support is minimal All that it uses is a NET Framework 4-introduced standard query operator, AsParallel(), on the static class SystemLinqParallelEnumerable Using this simple extension method, the runtime begins executing over the items within the data collection and encrypting them in parallel The result is a completion time that gets noticeably shorter than the synchronous alternative over a significantly sized set when there are multiple processors SystemLinqParallelEnumerable includes a superset of the query operators available on SystemLinqEnumerable, resulting in possible performance improvements for all of the predominant query operators including those used for filtering (Where()), projecting (Select()), joining, grouping, and aggregating
Listing 1815: Parallel LINQ with Standard Query Operators
// ParallelQuery<IGrouping<char, string>> parallelGroups; parallelGroups = dataAsParallel() OrderBy(item => item) // Show the total count of items still // matches the original count SystemDiagnosticsTraceAssert( dataCount == parallelGroupsSum( item => itemCount())); //
As Listing 1815 shows, invoking the parallel version simply involves a call to the IEnumerable<T>AsParallel() extension method Furthermore, the result of calling a parallel standard query operator is a parallel enumerator,