A parallel computational code for the eduction of coherent structures of turbulence in fluid dynamics

Abstract

A parallel computational code is developed for the execution of the Proper Orthogonal Decomposition (POD) of turbulent flow fields in fluid dynamics. The POD is an analytically-founded statistical technique that permits the eduction of appropriately-defined modes of the flow from the background flow, allowing the determination of the coherent structures of turbulence. The computational aspects of the different phases of the computing procedure are analyzed and the development of the related parallel computational code is described. Computational tests corresponding to different computing domains and number of processors are executed on a HP-V2500 parallel computing system and the results are shown in terms of parallel performance of the different phases of the calculations separately considered and of the computational code in the whole. © Springer-Verlag Berlin Heidelberg 2005.