EASY-FLOW, a very high-level data flow language, is introduced for the purpose of adapting programs written in a conventional high-level language to a parallel environment. The level of parallelism provided is of the large-grained variety in which parallel activities take place between subprograms or processes. A program written in EASY-FLOW is a set of subprogram calls as units, structured by iteration, branching, and distribution constructs. A data flow graph may be deduced from an EASY-FLOW program
Fortran and C++ are the dominant programming languages used in scientific computation. Consequently,...
International audienceIn this paper, we present a compiler extension for applications targeting high...
Data flow languages form a subclass of the languages which are based primarily upon function applica...
Data flow is a mode of parallel computation in which parallelism in a program can be exploited at th...
PhD ThesisIn the 1980s, multiple-processor computers (multiprocessors) based on conven- tional pr...
The success of parallel architectures has been limited by the lack of high-level parallel programmin...
Widespread adoption of parallel computing depends on the availability of improved software environme...
Many novel computer architectures like array and multiprocessors which achieve high performance thro...
Data flow is a mode of parallel computation in which parallelism in a program can be exploited at th...
Over the past few decades, scientific research has grown to rely increasingly on simulation and othe...
Discussed are how loop level parallelism is detected in a nonprocedural dataflow program, and how a ...
A framework for data-flow distributed processing is established through the definition of a data-flo...
A data flow computer is a highly concurrent and asynchronous multiprocessor due to its fundamentally...
The term "dataflow" generally encompasses three distinct aspects of computation - a data-driven mode...
A method for assessing the benefits of fine-grain paral-lelism in "real " programs is pres...
Fortran and C++ are the dominant programming languages used in scientific computation. Consequently,...
International audienceIn this paper, we present a compiler extension for applications targeting high...
Data flow languages form a subclass of the languages which are based primarily upon function applica...
Data flow is a mode of parallel computation in which parallelism in a program can be exploited at th...
PhD ThesisIn the 1980s, multiple-processor computers (multiprocessors) based on conven- tional pr...
The success of parallel architectures has been limited by the lack of high-level parallel programmin...
Widespread adoption of parallel computing depends on the availability of improved software environme...
Many novel computer architectures like array and multiprocessors which achieve high performance thro...
Data flow is a mode of parallel computation in which parallelism in a program can be exploited at th...
Over the past few decades, scientific research has grown to rely increasingly on simulation and othe...
Discussed are how loop level parallelism is detected in a nonprocedural dataflow program, and how a ...
A framework for data-flow distributed processing is established through the definition of a data-flo...
A data flow computer is a highly concurrent and asynchronous multiprocessor due to its fundamentally...
The term "dataflow" generally encompasses three distinct aspects of computation - a data-driven mode...
A method for assessing the benefits of fine-grain paral-lelism in "real " programs is pres...
Fortran and C++ are the dominant programming languages used in scientific computation. Consequently,...
International audienceIn this paper, we present a compiler extension for applications targeting high...
Data flow languages form a subclass of the languages which are based primarily upon function applica...