TPL Dataflow (TDF) is a .NET library for building concurrent applications. It promotes actor/agent-oriented designs through primitives for in-process message passing, dataflow, and pipelining. TDF builds upon the TPL (Task Parallel Library) in .NET 4 and integrates with async language support in C#, Visual Basic, and F#. TDF lacks join/merge by key (like SSIS) and time-based windowing (available in Rx).

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TPL Dataflow is an in-process actor library on top of the Task Parallel Library enabling more robust concurrent programming.


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.