Parallel processing is, in sharp contrast to just a Concurrent processing, guaranteed to start / perform / finish all thread-level and/or instruction-level tasks executed in a parallel fashion and provides a guaranteed finish of the simultaneously executed code-paths.

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In this article we are going to look at how we can squeeze the best performance out of an easily parallelizable problem by rewriting the same basic implementation using some of the most widely used multi-threading tools available in .NET. We will be covering different .NET technologies such as PLINQ, BlockingCollection, Parallel class as well as TPL Dataflow in conjunction with patterns such as MapReduce, ActorModel as well as ProducerConsumer while trying to achieve optimal parallelization and minimize the cost of synchronization between the threads.