Code parallelization for wind speed model generator

The goal of this paper is to investigate a new method of parallel computing used for a wind speed model, taking advantage of a modern, multicore CPU and of LabVIEW graphical programming language. The wind speed model is widely used in literature as a superposition of two components, a low and a high...

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Bibliographic Details
Main Authors: Cernaianu, M O, Harfas, P, Gontean, A
Format: Conference Proceeding
Language:English
Subjects:
Computational modeling
Magnetic cores
Mathematical model
Pipeline processing
Real time systems
Wind speed
Wind turbines
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Summary:The goal of this paper is to investigate a new method of parallel computing used for a wind speed model, taking advantage of a modern, multicore CPU and of LabVIEW graphical programming language. The wind speed model is widely used in literature as a superposition of two components, a low and a high frequency component. The high frequency or turbulent component is usually generated by filtering a white noise sequence with a shaping filter. The shaping filter is based on von Karman's model and is of a non-integer order, so it requires a computational effort. The wind speed model is first generated using Matlab. A multicore application is proposed, which uses the pipelining technique and all 4 cores of the processor. A comparison between the two methods is made, showing the performance gain of the parallelization, compared to a traditional, sequential computing approach.
ISSN:2161-2528
DOI:10.1109/ISSE.2010.5547310