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ARS Home » Pacific West Area » Corvallis, Oregon » Forage Seed and Cereal Research Unit » Research » Publications at this Location » Publication #159756
Title: USE OF A BEOWULF CLUSTER FOR ESTIMATION OF RISK USING SWAT

Author
item Whittaker, Gerald

Submitted to: Agronomy Journal
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 3/24/2004
Publication Date: 9/30/2004
Citation: Whittaker, G.W. 2004. Use of a beowulf cluster for estimation of risk using swat. Agronomy Journal. v.96. p.1495-1497.

Interpretive Summary: Estimation of uncertainty using agronomic models typically requires a monte carlo study with a large number of simulations. Complex models that cover large spatial areas require a great deal of computation. Parallel computation dramatically speeds repetitive computation of this sort. The use of a beowulf cluster parallel computer offers a low cost method of parallel computing. This note presents a method for parallel execution of an agronomic model (SWAT) in a monte carlo study of output probability distribution function estimation.

Technical Abstract: Estimation of uncertainty using agronomic models typically requires a monte carlo study with a large number of simulations. Complex models that cover large spatial areas require a great deal of computation. Parallel computation dramatically speeds repetitive computation of this sort. The use of a beowulf cluster parallel computer offers a low cost method of parallel computing. This note presents a method for parallel execution of an agronomic model (SWAT) in a monte carlo study of output probability distribution function estimation.