Web Reference: Sep 16, 2008 · Dataflow programming is one of those things that's been lurking around for decades and never quite taken off... for software anyway; in the VHDL/Verilog world you find yourself naturally adopting the dataflow mindset much more readily. Dataflow programs start with an input, perhaps the command line parameters, and illustrate how that data is used and modified. The flow of data is explicit, often visually illustrated as a line or pipe. The Task Parallel Library (TPL) provides dataflow components to help increase the robustness of concurrency-enabled applications. These dataflow components are collectively referred to as the TPL Dataflow Library. This dataflow model promotes actor-based programming by providing in-process message passing for coarse-grained dataflow and pipelining tasks. The dataflow components build on the types and scheduling infrastructure of the TPL and integrate with the C#, Visual Basic, and F# language support for asynchronous programming. These dataflow components are useful when you have multiple operations that must communicate with one another asynchronously or when you want to process data as it becomes available. For example, consider an application that processes image data from a web camera. By using the dataflow model, the application can process image frames as they become available. If the application enhances image frames, for example, by performing light correction or red-eye reduction, you can create a pipeline of dataflow components. Each stage of the pipeline might use more coarse-grained parallelism functionality, such as the functionality that is provided by the TPL, to transform the image.
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