We discuss Kriging Interpolation on high-performance computers as a method for spatial data interpolation. We analyse algmqthms for implementing Kriging on high-perfo~'mance and distributed architeetu~s. In addition to a number of test problems, we focus on an application of comparing rainfall measurements with satellite intageny. We discuss our hardware and software system and the resulting performance on the basis of the Kriging algorithm complexity. We also discuss our results in relation to selection of an appropriate execution ta~yet according to the data parameter sizes. We consider the implications of providing computational servers for processing data using the data interpolation method we describe. We describe the project context for this work, u~hich involves prototyping a data processing and delivery systrm making use of on-line data archives and p~vcessing sen~ices made available on-demand using World Wide Web protocols.
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