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  2. Dataflow programming - Wikipedia

    en.wikipedia.org/wiki/Dataflow_programming

    Dataflow programming languages share some features of functional languages, and were generally developed in order to bring some functional concepts to a language more suitable for numeric processing. Some authors use the term datastream instead of dataflow to avoid confusion with dataflow computing or dataflow architecture , based on an ...

  3. List of programming languages by type - Wikipedia

    en.wikipedia.org/wiki/List_of_programming...

    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:

  4. CAL Actor Language - Wikipedia

    en.wikipedia.org/wiki/CAL_Actor_Language

    CAL is a dataflow language geared towards a variety of application domains, such as multimedia processing, control systems, network processing etc. Another common reason for choosing dataflow is that the goal is an efficient parallel implementation which would be difficult or impossible to achieve using a sequential programming language.

  5. Prograph - Wikipedia

    en.wikipedia.org/wiki/Prograph

    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and Prograph CPX were available for the Apple Macintosh and Windows platforms for many years but were eventually withdrawn from the market in the late 1990s.

  6. Explicit data graph execution - Wikipedia

    en.wikipedia.org/wiki/Explicit_data_graph_execution

    Dataflow computers execute programs according to the "dataflow firing rule", which stipulates that an instruction may execute at any time after its operands are available. Due to the isolation of data, similar to EDGE, dataflow languages are inherently parallel, and interest in them followed the more general interest in massive parallelism as a ...

  7. Dataflow - Wikipedia

    en.wikipedia.org/wiki/Dataflow

    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 ...

  8. Lucid (programming language) - Wikipedia

    en.wikipedia.org/wiki/Lucid_(programming_language)

    In Lucid (and other dataflow languages) an expression that contains a variable that has not yet been bound waits until the variable has been bound, before proceeding. An expression like x + y will wait until both x and y are bound before returning with the output of the expression. An important consequence of this is that explicit logic for ...

  9. Comparison of multi-paradigm programming languages - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_multi...

    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)