Abstract
This chapter explores the usage of the new proposed OpenMP model for shared memory programming within the large eddy simulation framework. The numerical procedure is based on the finite volume approach with staggered grid arrangement and possesses second order of accuracy for both space and time. There are many message passing libraries, such as message-passing interface (MPI) and parallel virtual machine (PVM), which are developed as standard platform to perform parallel computing on different machines, which primarily are distributed ones. However, the implementation of these message passing models are not straightforward, and there are many shared memory machines, which scales more readily than the distributed machines. The time averaged velocity distribution compared favorably with the domain name system (DNS) data. The viscous sub-layer is adequately resolved by the adopted scheme. The turbulence level also compares favorably with the DNS data, though the streamwise turbulence intensity is slightly under-predicted. The preliminary results of the parallel performance of alternating direction implicit (ADI) linear solver using OpenMP indicate the scalability of the model is good.
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