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Aerodynamic Shape Optimization Using A Combined Distributed/Shared Memory ParadigmCurrent parallel computational approaches involve distributed and shared memory paradigms. In the distributed memory paradigm, each processor has its own independent memory. Message passing typically uses a function library such as MPI or PVM. In the shared memory paradigm, such as that used on the SGI Origin 2000 machine, compiler directives are used to instruct the compiler to schedule multiple threads to perform calculations. In this paradigm, it must be assured that processors (threads) do not simultaneously access regions of memory in such away that errors would occur. This paper utilizes the latest version of the SGI MPI function library to combine the two parallelization paradigms to perform aerodynamic shape optimization of a generic wing/body.
Document ID
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Cheung, Samson
(MRJ Technology Solutions Moffett Field, CA United States)
Holst, Terry
(NASA Ames Research Center Moffett Field, CA United States)
Date Acquired
August 19, 2013
Publication Date
January 1, 1999
Publication Information
Publication: HPCCP/CAS Workshop Proceedings 1998
Subject Category
Distribution Limits
Work of the US Gov. Public Use Permitted.
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