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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 values, they are instantly transmitted to the next logical "actor" or formula for calculation.
Distributed data flows have also been proposed as a programming abstraction that captures the dynamics of distributed multi-protocols. The data-centric perspective characteristic of data flow programming promotes high-level functional specifications and simplifies formal reasoning about system components.
Hardware architectures for dataflow was a major topic in computer architecture research in the 1970s and early 1980s. Jack Dennis of the Massachusetts Institute of Technology (MIT) pioneered the field of static dataflow architectures. Designs that use conventional memory addresses as data dependency tags are called static dataflow machines. These machines did not allow multiple instances of the same routines to be executed simultaneously because the simple tags could not differentiate between them. Designs that use content-addressable memory are called dynamic dataflow machines by Arvind. They use tags in memory to facilitate parallelism. Data flows around the computer through the components of the computer. It gets entered from the input devices and can leave through output devices (printer etc.).
Concurrencyedit
A dataflow network is a network of concurrently executing processes or automata that can communicate by sending data over channels (see message passing.)
In Kahn process networks, named after Gilles Kahn, the processes are determinate. This implies that each determinate process computes a continuous function from input streams to output streams, and that a network of determinate processes is itself determinate, thus computing a continuous function. This implies that the behavior of such networks can be described by a set of recursive equations, which can be solved using fixed point theory. The movement and transformation of the data is represented by a series of shapes and lines.
Other meaningsedit
Dataflow can also refer to:
Power BI Dataflow, a Power Query implementation in the cloud used for transforming source data into cleansed Power BI Datasets to be used by Power BI report developers through the Microsoft Dataverse (formerly called Microsoft Common Data Service).
Google Cloud Dataflow, a fully managed service for executing Apache Beam pipelines within the Google Cloud Platform ecosystem.
See alsoedit
The dictionary definition of dataflow at Wiktionary
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This article is about software engineering For the flow of data within a computer network see Traffic flow computer networking For the graphical representation of flow of data within an information system see data flow diagram For the hardware architecture see Dataflow architecture For the Dubai based company see DataFlow Group This article has multiple issues Please help improve it or discuss these issues on the talk page Learn how and when to remove these template messages This article s lead section may be too short to adequately summarize the key points Please consider expanding the lead to provide an accessible overview of all important aspects of the article November 2013 This article needs additional citations for verification Please help improve this article by adding citations to reliable sources Unsourced material may be challenged and removed Find sources Dataflow news newspapers books scholar JSTOR September 2016 Learn how and when to remove this template message Learn how and when to remove this template message In computing dataflow is a broad concept which has various meanings depending on the application and context In the context of software architecture data flow relates to stream processing or reactive programming Contents 1 Software architecture 2 Hardware architecture 3 Concurrency 4 Other meanings 5 See also 6 ReferencesSoftware architecture editDataflow computing is a software paradigm based on the idea of representing computations as a directed graph where nodes are computations and data flow along the edges 1 Dataflow can also be called stream processing or reactive programming 2 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 values they are instantly transmitted to the next logical actor or formula for calculation Distributed data flows have also been proposed as a programming abstraction that captures the dynamics of distributed multi protocols The data centric perspective characteristic of data flow programming promotes high level functional specifications and simplifies formal reasoning about system components Hardware architecture editMain article Dataflow architecture Hardware architectures for dataflow was a major topic in computer architecture research in the 1970s and early 1980s Jack Dennis of the Massachusetts Institute of Technology MIT pioneered the field of static dataflow architectures Designs that use conventional memory addresses as data dependency tags are called static dataflow machines These machines did not allow multiple instances of the same routines to be executed simultaneously because the simple tags could not differentiate between them Designs that use content addressable memory are called dynamic dataflow machines by Arvind They use tags in memory to facilitate parallelism Data flows around the computer through the components of the computer It gets entered from the input devices and can leave through output devices printer etc Concurrency editA dataflow network is a network of concurrently executing processes or automata that can communicate by sending data over channels see message passing In Kahn process networks named after Gilles Kahn the processes are determinate This implies that each determinate process computes a continuous function from input streams to output streams and that a network of determinate processes is itself determinate thus computing a continuous function This implies that the behavior of such networks can be described by a set of recursive equations which can be solved using fixed point theory The movement and transformation of the data is represented by a series of shapes and lines Other meanings editDataflow can also refer to Power BI Dataflow a Power Query implementation in the cloud used for transforming source data into cleansed Power BI Datasets to be used by Power BI report developers through the Microsoft Dataverse formerly called Microsoft Common Data Service Google Cloud Dataflow a fully managed service for executing Apache Beam pipelines within the Google Cloud Platform ecosystem See also edit nbsp The dictionary definition of dataflow at Wiktionary Binary Modular Dataflow Machine BMDFM Communicating sequential processes Complex event processing Data flow diagram Data flow analysis a type of program analysis Data stream Dataflow programming a programming language paradigm Erlang programming language Flow based programming FBP Flow control data Functional reactive programming Lazy evaluation Lucid programming language Oz programming language Packet flow Pipeline computing Pure Data State transition TensorFlow Theano Ward Mellor methodologyReferences edit Schwarzkopf Malte 7 March 2020 The Remarkable Utility of Dataflow Computing ACM SIGOPS Retrieved 31 July 2022 A Short Intro to Stream Processing Retrieved from https en wikipedia org w index php title Dataflow amp oldid 1166264176, wikipedia, wiki, book, books, library,
