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Scientific Programming
Volume 13, Issue 3, Pages 205-217

Parallel Framework for Cooperative Processes

Mitică Craus and Laurenţiu Rudeanu

Department of Computer Engineering, Technical University "Gh.Asachi", 700050 Iaşi, Romania

Received 26 December 2005; Accepted 26 December 2005

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.


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.