Geostationary-satellite imagery applications on distributed, high-performance computing

  • Authors:
  • K. A. Hawick;H. A. James;K. J. Maciunas;F. A. Vaughan;A. L. Wendelborn;M. Buchhorn;M. Rezny;S. R. Taylor;M. D. Wilson

  • Affiliations:
  • -;-;-;-;-;-;-;-;-

  • Venue:
  • HPC-ASIA '97 Proceedings of the High-Performance Computing on the Information Superhighway, HPC-Asia '97
  • Year:
  • 1997

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Abstract

We discuss applications of high resolution geostationary satellite imagery and distributed high performance computing facilities for the storage, processing and delivery of satellite data products. We describe our system which is built on a distributed high performance computing environment using a number of software infrastructural building blocks and computational resources interconnected by an ATM based broadband network. Distributed high performance computing hardware technology underpins our proposed system. In particular we discuss the capabilities of a distributed hardware environment incorporating: high bandwidth communications networks such as Telstra's Experimental Broadband Network (EBN); large capacity hierarchical storage systems; and high performance parallel computing resources. We also describe a recent demonstration of our project resources to the remote sensing user community.