Finite Di erence and Spectral Models for Numerical Weather Forecasting on a Massively Parallel Computer
نویسندگان
چکیده
A computationally intensive part in a model for numerical weather forecasting solves a set of partial di erential equations. There are several techniques to obtain this solution numerically. In this paper we will discuss the implementation of a numerical weather forecasting model on a massively parallel architecture using two techniques: a nite di erence (gridpoint) method and a spectral method. A comparison between the two methods based on their actual performance will be presented. Besides the price/performance ratio of several compute platforms for this forecast model will be discussed.
منابع مشابه
Data-parallel numerical methods in a weather forecast model
The results presented in this paper are part of a research project to investigate the possibilities to apply massively parallel architectures for numerical weather forecasting. Within numerical weather forecasting several numerical techniques are used to solve the model equations. This paper compares the performance of implementations on a MasPar system of two techniques, nite di erence and spe...
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