The need for more processing power has spurred the development of new processor architectures. A promising branch of research in this area is devoted to prototypes of a new type of computer organization, based on the dataflow concept. While powerful and attractive through its simplicity, major milestones still have to be passed before such machines reach industrial maturity. However, the principles of dataflow analysis provide a sound basis for the detection and scheduling of parallel operations from ordinary sequential programs. In this paper the basic dataflow architectures are discussed, It is shown that the dataflow principles can be applied to the analysis of sequential programs, with a "conventional" shared memory multiprocessor as ta...
The aim of this work is to propose a simple and efficient mechanism to deal with the problem of exec...
Standard techniques for analysing sequential programs are severely constrained when applied to a con...
A method for assessing the benefits of fine-grain paral-lelism in "real " programs is pres...
The need for more processing power has spurred the development of new processor architectures. A pro...
This paper describes about Data Flow Computers. The dataflow model of computation offers an attracti...
Data flow analysis is a well studied family of static program analyses. A rich theoretical basis for...
Dataflow may be thought of as a language-oriented approach to the design and organization of computi...
Our goal is to devise a computer comprising large numbers of cooperating processors (LSI). In doing ...
Memory models for shared-memory concurrent programming languages typically guarantee sequential cons...
The primary objective of the proposed research is to define and evaluate an architecture for a compu...
Our goal is to devise a computer comprising large numbers of cooperating processors (LSI). In doing ...
Dataflow analyses are a critical part of many optimizing compilers as well as bug-finding and progra...
We present a comprehensive approach to performing data flow analysis in parallel. We identify three ...
We present a comprehensive approach to performing data flow analysis in parallel. We identify three ...
AbstractThe concepts of a data flow and sequential computers are confronted using models written in ...
The aim of this work is to propose a simple and efficient mechanism to deal with the problem of exec...
Standard techniques for analysing sequential programs are severely constrained when applied to a con...
A method for assessing the benefits of fine-grain paral-lelism in "real " programs is pres...
The need for more processing power has spurred the development of new processor architectures. A pro...
This paper describes about Data Flow Computers. The dataflow model of computation offers an attracti...
Data flow analysis is a well studied family of static program analyses. A rich theoretical basis for...
Dataflow may be thought of as a language-oriented approach to the design and organization of computi...
Our goal is to devise a computer comprising large numbers of cooperating processors (LSI). In doing ...
Memory models for shared-memory concurrent programming languages typically guarantee sequential cons...
The primary objective of the proposed research is to define and evaluate an architecture for a compu...
Our goal is to devise a computer comprising large numbers of cooperating processors (LSI). In doing ...
Dataflow analyses are a critical part of many optimizing compilers as well as bug-finding and progra...
We present a comprehensive approach to performing data flow analysis in parallel. We identify three ...
We present a comprehensive approach to performing data flow analysis in parallel. We identify three ...
AbstractThe concepts of a data flow and sequential computers are confronted using models written in ...
The aim of this work is to propose a simple and efficient mechanism to deal with the problem of exec...
Standard techniques for analysing sequential programs are severely constrained when applied to a con...
A method for assessing the benefits of fine-grain paral-lelism in "real " programs is pres...