Title :
Heterogeneous Parallel Computing in Remote Sensing Applications: Current Trends and Future Perspectives
Author :
Plaza, Antonio J.
Author_Institution :
Comput. Sci. Dept., Extremadura Univ., Caceres
Abstract :
Heterogeneous networks of computers have rapidly become a very promising commodity computing solution, expected to play a major role in the design of high performance computing systems for remote sensing missions. Currently, only a few parallel processing strategies are available in this research area, and most of them assume homogeneity in the underlying computing platform. This paper develops several highly innovative heterogeneous parallel algorithms for information extraction from high-dimensional remotely sensed images, with particular emphasis on target detection and land-cover mapping applications. Experimental results are presented in the context of a realistic application, using real data collected by NASA´s Jet Propulsion Laboratory over the World Trade Center complex in New York City after September 11th, 2001. Parallel performance of the proposed algorithms is discussed using several (fully and partially) heterogeneous networks at University of Maryland, and a massively parallel Beowulf cluster at NASA´s Goddard Space Flight Center. Combined, these parts deliver a snapshot of the state-of-the-art in those areas, and a thoughtful perspective on the potential and challenges of applying heterogeneous computing practices to remote sensing problems
Keywords :
computer networks; geophysics computing; information retrieval; parallel algorithms; remote sensing; Goddard Space Flight Center; NASA´s Jet Propulsion Laboratory; World Trade Center; heterogeneous networks; heterogeneous parallel algorithms; heterogeneous parallel computing; high performance computing systems; information extraction; land-cover mapping applications; networks of computers; parallel Beowulf cluster; parallel processing strategy; remote sensing applications; remotely sensed images; target detection; Application software; Computer networks; Concurrent computing; Data mining; High performance computing; Object detection; Parallel algorithms; Parallel processing; Propulsion; Remote sensing;
Conference_Titel :
Cluster Computing, 2006 IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
1-4244-0327-8
Electronic_ISBN :
1552-5244
DOI :
10.1109/CLUSTR.2006.311903