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Book: Dataflow and Reactive Programming Systems; Basics of Dataflow Programming in F# and C#; Dataflow Programming - Concept, Languages and Applications; Static Scheduling of Synchronous Data Flow Programs for Digital Signal Processing; Handling huge loads without adding complexity The basic concepts of dataflow programming, Dr. Dobb's, Sept. 2011
Dataflow programming languages rely on a (usually visual) representation of the flow of data to specify the program. Frequently used for reacting to discrete events or for processing streams of data. Examples of dataflow languages include:
Flow-based programming defines applications using the metaphor of a "data factory". It views an application not as a single, sequential process, which starts at a point in time, and then does one thing at a time until it is finished, but as a network of asynchronous processes communicating by means of streams of structured data chunks, called "information packets" (IPs).
Lucid is a dataflow programming language designed to experiment with non-von Neumann programming models. It was designed by Bill Wadge and Ed Ashcroft and described in the 1985 book Lucid, the Dataflow Programming Language. [1] pLucid was the first interpreter for Lucid.
There have been multiple data-flow/stream processing languages of various forms (see Stream processing). Data-flow hardware (see Dataflow architecture) is an alternative to the classic von Neumann architecture. The most obvious example of data-flow programming is the subset known as reactive programming with spreadsheets. As a user enters new ...
Prograph is a visual, object-oriented, dataflow, multiparadigm programming language that uses iconic symbols to represent actions to be taken on data. Commercial Prograph software development environments such as Prograph Classic and Prograph CPX were available for the Apple Macintosh and Windows platforms for many years but were eventually withdrawn from the market in the late 1990s.
CAL (the Cal Actor Language) is a high-level programming language [1] for writing actors, which are stateful operators that transform input streams of data objects (tokens) into output streams. CAL has been compiled to a variety of target platforms, including single-core processors, multicore processors, and programmable hardware .
Dataflow programming – forced recalculation of formulas when data values change (e.g. spreadsheets) Declarative programming – describes what computation should perform, without specifying detailed state changes c.f. imperative programming (functional and logic programming are major subgroups of declarative programming)