Using MPI: portable parallel programming with the message-passing interface
Using MPI: portable parallel programming with the message-passing interface
ATM networks (2nd ed.): concepts, protocols, applications
ATM networks (2nd ed.): concepts, protocols, applications
The Java Language Specification
The Java Language Specification
A Tutorial for CC++
HPCN Europe 2000 Proceedings of the 8th International Conference on High-Performance Computing and Networking
Distributed frameworks and parallel algorithms for processing large-scale geographic data
Parallel Computing - Special issue: High performance computing with geographical data
Future Generation Computer Systems
Key technologies research on building a cluster-based parallel computing system for remote sensing
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part III
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We describe distributed and parallel algorithms for processing remotely sensed data such as geostationary satellite imagery. We have built a distributed data repository based around the client-server computing model across wide-area ATM networks, with embedded parallel and high-performance processing modules. We focus on algorithms for classification, geo-rectification, correlation and histogram analysis of the data. We consider characteristics of image data collected from the Japanese GMS5 geostationary meteorological satellite, and some analysis techniques we have applied to it. As well as providing a browsing interface to our data collection, our system provides processing and analysis services on-demand. We are developing our system to carry out processing and data reduction services at-a-distance, enabling remote users with limited bandwidth, access to our system, to obtain useful derived data products at the resolution they require.Our target hardware consists of a heterogeneous collection of distributed workstations, multi-processor servers and massively parallel computers at locations throughout Australia. These platforms are connected by ATM-based LANs and also through ATM switches across long distance WANs such as Telstra's Experimental Broadband Network, connecting Adelaide, Melbourne and Canberra. Our particular interest in constructing remote data access and processing services is the potential to utilise such resources as are available to a given user, yielding the best performance compromise of data processing and data delivery. To this end, we are building a set of resource scheduling and management utilities that will integrate the processing modules we describe. We have considered a number of software frameworks for building our integrated system and are focusing on a distributed object model using WWW protocols and the Java language.