Linda is a new parallel programming language that is built around an interprocess communication model called generative communication that differs from previous models in specifying that shared data be added in tuple form to an environment called tuple space, where a tuple exists independently until some process chooses to use it. Interesting properties arise from the model, including space and time uncoupling as well as structured naming. We delineate the essential Linda operations, then discuss the properties of generative communication. We are particularly concerned with implementing Linda on top of two traditional parallel programming paradigms - process communication through globally shared memory via monitors, and process communicatio...
Among the paradigms for parallel and distributed computing, the one popularized with Linda, and base...
Institute for Computing Systems ArchitectureAbstraction concepts based on process groups have largel...
Parallel and distributed programming is conceptually harder to undertake and to understand than sequ...
Linda is a model for communication and co-ordination of parallel processes. The model provides a vir...
With the evolution of parallel and distributed systems, users from diverse disciplines have looked t...
Facilities such as interprocess communication and protection of shared resources have been added to ...
The associative tuplespace access and uncoupled communication of Linda parallel programs are the key...
We have implemented the Linda model of shared distributed tuple space in a functional programming la...
Linda is an approach to parallelism which relies on a virtual associative shared memory called tuple...
Linda is a parallel programming language that differs from other parallel languages in its simplicit...
Abstract: "We have implemented the Linda model of shared distributed tuple space in a functional pro...
This paper discusses the current resurgence of interest in the Linda coordination language for paral...
Among the paradigms for parallel and distributed computing, the one popularized with Linda, and base...
Among the paradigms for parallel and distributed computing, the one popularized with Linda, and base...
Among the paradigms for parallel and distributed computing, the one popularized with Linda, and base...
Among the paradigms for parallel and distributed computing, the one popularized with Linda, and base...
Institute for Computing Systems ArchitectureAbstraction concepts based on process groups have largel...
Parallel and distributed programming is conceptually harder to undertake and to understand than sequ...
Linda is a model for communication and co-ordination of parallel processes. The model provides a vir...
With the evolution of parallel and distributed systems, users from diverse disciplines have looked t...
Facilities such as interprocess communication and protection of shared resources have been added to ...
The associative tuplespace access and uncoupled communication of Linda parallel programs are the key...
We have implemented the Linda model of shared distributed tuple space in a functional programming la...
Linda is an approach to parallelism which relies on a virtual associative shared memory called tuple...
Linda is a parallel programming language that differs from other parallel languages in its simplicit...
Abstract: "We have implemented the Linda model of shared distributed tuple space in a functional pro...
This paper discusses the current resurgence of interest in the Linda coordination language for paral...
Among the paradigms for parallel and distributed computing, the one popularized with Linda, and base...
Among the paradigms for parallel and distributed computing, the one popularized with Linda, and base...
Among the paradigms for parallel and distributed computing, the one popularized with Linda, and base...
Among the paradigms for parallel and distributed computing, the one popularized with Linda, and base...
Institute for Computing Systems ArchitectureAbstraction concepts based on process groups have largel...
Parallel and distributed programming is conceptually harder to undertake and to understand than sequ...