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Advances in Ordinary Kriging Using the Stampede and Bridges Supercomputers



Author(s)

Erin M. Hodgess and Kendra Mhoon

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DOI:10.17265/2328-2193/2018.01.002

University of Houston-Downtown, 1 Main Street, Houston 77002, TX, USA

A new approach for the implementation of variogram models and ordinary kriging using the R statistical language, in conjunction with Fortran, the MPI (Message Passing Interface), and the “pbdDMAT” package within R on the Bridges and Stampede Supercomputers will be described. This new technique has led to great improvements in timing as compared to those in R alone, or R with C and MPI. These improvements include processing and forecasting vectors of size 25,000 in an average time of 6 minutes on the Stampede Supercomputer and 2.5 minutes on the Bridges Supercomputer as compared to previous processing times of 3.5 hours.

Kriging, geostatistics, high performance computing.