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Framework for developing extensible and reusable parallel and distributed applications

Authors: G.R. Ribeiro Justo; P.R. Freire Cunha;

Framework for developing extensible and reusable parallel and distributed applications

Abstract

The number of parallel and distributed programming languages available is enormous. This means that the user faces a difficult task in selecting the language which suits his/her application. Most of the facilities supported by new languages could be, however, introduced as simple extensions of existing languages. In object oriented languages where the concepts of reusability and extensibility are natural parts of the language, extensions can easily take place by creating frameworks which provide the abstraction level required by the user. We present a framework that supports the dynamic reconfiguration of processes. C++CL is a framework developed in C++ and layered above PVM. This means that dynamic reconfigurable systems are easily built in a C++ fashion following the CL approach. At the same time, by using PVM, we improve the portability of the framework over heterogeneous networks and can also use all tools available for tracing and debugging PVM parallel processes. The paper then shows how the framework can be extended to provide special classes of programs.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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