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 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.