By Topic

Study of a parallel CBIR implementation using MPI

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Bosque, J.L. ; Dept. de Ciencias Exp. e Ingenieria, Univ. Rey Juan Carlos, Madrid, Spain ; Robles, O.D. ; Rodriguez, A. ; Pastor, L.

This paper presents a parallel implementation of a content based information retrieval (CBIR) system which deals with an image database composed of data from over 29 million bidimensional RGB images, which would be equivalent to 1.45 TB of graphical data. The application has been designed for a distributed memory multiprocessor environment, and has been implemented in a cluster of twenty five PCs using MPI. The paradigm that best fits the problem's needs is a farm based solution: a master process distributes the work load between the slave processes, and when these have finished, the master recollects the partial results computed on each slave process. In order to evaluate this solution, the experimental results have been compared with those achieved using a Silicon Graphics Origin 2000, a shared memory machine with eight processors. This paper analyzes the performances offered by both approaches from the viewpoints of speed, price and scalability, presenting the conclusions that can be extracted from the results' comparison

Published in:

Computer Architectures for Machine Perception, 2000. Proceedings. Fifth IEEE International Workshop on

Date of Conference: