Scientific Programming

Scientific Programming / 2005 / Article

Open Access

Volume 13 |Article ID 617254 |

Mitică Craus, Laurenţiu Rudeanu, "Parallel Framework for Cooperative Processes", Scientific Programming, vol. 13, Article ID 617254, 13 pages, 2005.

Parallel Framework for Cooperative Processes

Received26 Dec 2005
Accepted26 Dec 2005


This paper describes the work of an object oriented framework designed to be used in the parallelization of a set of related algorithms. The idea behind the system we are describing is to have a re-usable framework for running several sequential algorithms in a parallel environment. The algorithms that the framework can be used with have several things in common: they have to run in cycles and the work should be possible to be split between several "processing units". The parallel framework uses the message-passing communication paradigm and is organized as a master-slave system. Two applications are presented: an Ant Colony Optimization (ACO) parallel algorithm for the Travelling Salesman Problem (TSP) and an Image Processing (IP) parallel algorithm for the Symmetrical Neighborhood Filter (SNF). The implementations of these applications by means of the parallel framework prove to have good performances: approximatively linear speedup and low communication cost.

Copyright © 2005 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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