Explore: Data Flow Computing

context of software architecture, data flow relates to stream processing or reactive programming. Dataflow computing is a software paradigm based on the

Data-flow analysis is a technique for gathering information about the possible set of values calculated at various points in a computer program. It forms

Flow control may refer to: Flow control (data), in communications Ethernet flow control Flow control (fluid), in fluid dynamics Air traffic flow control

In computing, a sink, or data sink generally refers to the destination of data flow. The word sink has multiple uses in computing. In software engineering

and parallel computing frameworks.[citation needed] Synchronous dataflow architectures tune to match the workload presented by real-time data path applications

concurrently operate on different data, which is highly parallel computing. This heterogeneous systems technique is used in computing research and especially in

and data science, which often involves machine learning. Making the data usable usually involves substantial compute and storage, as well as data processing

Data-intensive computing is a class of parallel computing applications which use a data parallel approach to process large volumes of data typically terabytes

Distributed data flow (also abbreviated as distributed flow) refers to a set of events in a distributed application or protocol. Distributed data flows serve

programming Flow-based programming Functional reactive programming Glossary of reconfigurable computing High-performance reconfigurable computing Incremental