NDLI: An analysis of performance enhancement techniques for overset grid applications

Content Provider	IEEE Xplore Digital Library
Author	Djomehri, M.J. Biswas, R. Potsdam, M. Strawn, R.C.
Copyright Year	2003
Description	Author affiliation: Comput. Sci. Corp., NASA Ames Res. Center, Moffett Field, CA, USA (Djomehri, M.J.)
Abstract	The overset grid methodology has significantly reduced time-to-solution of high-fidelity computational fluid dynamics (CFD) simulations about complex aerospace configurations. The solution process resolves the geometrical complexity of the problem domain by using separately generated but overlapping structured discretization grids that periodically exchange information through interpolation. However, high performance computations of such large-scale realistic applications must be handled efficiently on state-of-the-art parallel supercomputers. This paper analyzes the effects of various performance enhancement techniques on the parallel efficiency of an overset grid Navier-Stokes CFD application running on an SGI Origin2000 machine. Specifically, the role of asynchronous communication, grid splitting, and grid grouping strategies are presented and discussed. Results indicate that performance depends critically on the level of latency hiding and the quality of load balancing across the processors.
Sponsorship	IEEE Comput. Soc Tech. Committee on Parallel Process. IEEE Comput. Soc. Tech. Committee on Comput. Archit. IEEE Comput. Soc. Tech. Committee on Distrib. Process. ACM SIGARCH
File Size	1774711
File Format	PDF
ISBN	0769519261
ISSN	15302075
DOI	10.1109/IPDPS.2003.1213158
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-04-22
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance analysis Computational fluid dynamics Computational modeling Aerospace simulation Mesh generation Interpolation Concurrent computing High performance computing Large-scale systems Supercomputers
Content Type	Text
Resource Type	Article

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