How to build a Beowulf: a guide to the implementation and application of PC clusters
How to build a Beowulf: a guide to the implementation and application of PC clusters
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
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
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This paper discusses design and implementation of a scalable high performance remote sensing satellite ground processing system using a variety of advanced hardware and software application technology on performance and function. These advanced technologies include the network, parallel file system, parallel programming, job schedule, workflow management, design patterns,etc, which make performance and function of remote sensing satellite ground processing system scalable enough to fully meet the high performance processing requirement of multi-satellite, multi-tasking, massive remote sensing satellite data. The "beijing-1" satellite remote sensing ground processing system is introduced as an instance.