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Plinq Presentation

Plinq Presentation. Steen L. Knudsen slk@neas.dk steen.l.knudsen@gmail.com. NEAS. Nordjysk Elhandel. PLinq. Parrallel Linq Make it easy for the developer to take advantage of multiple cores . Declarative way of expressing parrallel computations. Thread Pool.

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Plinq Presentation

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  1. PlinqPresentation Steen L. Knudsen slk@neas.dk steen.l.knudsen@gmail.com

  2. NEAS • Nordjysk Elhandel

  3. PLinq • ParrallelLinq • Make it easy for the developer to takeadvantage of multiple cores. • Declarativeway of expressing parrallel computations

  4. Thread Pool • A lot of codeneeded to manage the plumbinginvovled in this

  5. Plinqthread Pool • Split the enumerable list intopartitions and let the threads run the tasks

  6. When to usePlinq • N elements - M threads - T time to process • Overhead • Split the enumerableinto parts O(N) • Start the threads O(M) • Merge the part resultsinto the completeresult O(N) • Gain O(N/M*T) • O(N/M*T) > (2*O(N)+ O(M))

  7. AsParrallel • .AsParrallel • Extension to IEnumerable • publicstaticParallelQueryAsParallel( thisIEnumerable source ) • The IEnumerableshouldrepresent the tasksthatshould run in parrallel

  8. ParallelQuery • .WithDegreeOfParallelism() • The number of threadsused

  9. Partitioner • The default partitioner split the list intochunks • Youcanwrite a customPartitionerthatinherits from Partitioner<T> • Example

  10. ParallelQuery • ForAll() • WithMergeOptions() • FullyBufferedeachthreadprocess the part, thenmerge • Example • WithCancellation() • CancellationToken • AsOrdered()

  11. Exceptions • AggregateException

  12. Plinq and dbsources • Becareful the source for the AsParrallel is a database source. • Example

  13. Task Parallel Library

  14. Task Parallel Library • Task<T> • Future • Parallel.ForEach

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