Geopotential Error Analysis from Satellite Gradiometer and Global Positioning System Observables on Parallel Architecture

作者: Gregory A. Baker , Bob E. Schutz

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摘要: The recovery of a high resolution geopotential from satellite gradiometer observations motivates the examination performance computational techniques. primary subject matter addresses specifically use and GPS to form invert normal matrix associated with large degree order solution. Memory resident out-of-core parallel linear algebra techniques along data batch algorithms foundation least squares application structure. A secondary topic includes adoption object oriented programming enhance modularity reusability code. Applications implementing methods successfully calculate variance for 110 solution on 32 processors Cray T3E. memory exhibits an overall 5.4 Gflops, solver 2.4 Gflops. combination derived sun synchronous orbit produce average geoid height variances 17 millimeters.

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