This paper presents dataflow machines, a model for stream programs aimed at capturing their logical structure in a way that is amenable to analysis, composition, and hardware and software code generation. We discuss the properties of the model, and its relationship to a previous effort, actor machines. Dataflow machines are motivated by the shortcomings of actor machines when generating highly parallel implementations (such as in hardware), and when composing machines. The paper compares and contrasts the two models with emphasis on these two topics
The term "dataflow" generally encompasses three distinct aspects of computation - a data-driven mode...
In a dataflow program, an instruction is enabled whenever all of its operands have been produced; at...
The dataflow model of computation exposes and exploits parallelism in programs without requiring p...
Abstract—In application areas that process stream-like data such as multimedia, networking and DSP, ...
This paper describes about Data Flow Computers. The dataflow model of computation offers an attracti...
Starting from a static dataflow model it is possible to establish an easy one-to-one correspondance ...
Dataflow process networks provide a versatile model of computation for specifying signal processing ...
Our goal is to devise a computer comprising large numbers of cooperating processors (LSI). In doing ...
The primary objective of the proposed research is to define and evaluate an architecture for a compu...
Stream processing is a term that is used widely in the literature to describe a variety of systems. ...
Dataflow programming is a paradigm for describing stream processing algorithms in a manner that natu...
In the streaming domain, applications are often described as dataflow graphs. Each node in the graph...
Dataflow is presented as an alternative to the von Neumann model as the basis for computer system de...
Many application areas for embedded systems, such as DSP, media coding, and image processing, are ba...
Our goal is to devise a computer comprising large numbers of cooperating processors (LSI). In doing ...
The term "dataflow" generally encompasses three distinct aspects of computation - a data-driven mode...
In a dataflow program, an instruction is enabled whenever all of its operands have been produced; at...
The dataflow model of computation exposes and exploits parallelism in programs without requiring p...
Abstract—In application areas that process stream-like data such as multimedia, networking and DSP, ...
This paper describes about Data Flow Computers. The dataflow model of computation offers an attracti...
Starting from a static dataflow model it is possible to establish an easy one-to-one correspondance ...
Dataflow process networks provide a versatile model of computation for specifying signal processing ...
Our goal is to devise a computer comprising large numbers of cooperating processors (LSI). In doing ...
The primary objective of the proposed research is to define and evaluate an architecture for a compu...
Stream processing is a term that is used widely in the literature to describe a variety of systems. ...
Dataflow programming is a paradigm for describing stream processing algorithms in a manner that natu...
In the streaming domain, applications are often described as dataflow graphs. Each node in the graph...
Dataflow is presented as an alternative to the von Neumann model as the basis for computer system de...
Many application areas for embedded systems, such as DSP, media coding, and image processing, are ba...
Our goal is to devise a computer comprising large numbers of cooperating processors (LSI). In doing ...
The term "dataflow" generally encompasses three distinct aspects of computation - a data-driven mode...
In a dataflow program, an instruction is enabled whenever all of its operands have been produced; at...
The dataflow model of computation exposes and exploits parallelism in programs without requiring p...