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A Computational Fluid Dynamics Algorithm on a Massively Parallel ComputerThe discipline of computational fluid dynamics is demanding ever-increasing computational power to deal with complex fluid flow problems. We investigate the performance of a finite-difference computational fluid dynamics algorithm on a massively parallel computer, the Connection Machine. Of special interest is an implicit time-stepping algorithm; to obtain maximum performance from the Connection Machine, it is necessary to use a nonstandard algorithm to solve the linear systems that arise in the implicit algorithm. We find that the Connection Machine ran achieve very high computation rates on both explicit and implicit algorithms. The performance of the Connection Machine puts it in the same class as today's most powerful conventional supercomputers.
Document ID
19990111578
Acquisition Source
Ames Research Center
Document Type
Reprint (Version printed in journal)
Authors
Jespersen, Dennis C.
(NASA Ames Research Center Moffett Field, CA United States)
Levit, Creon
(NASA Ames Research Center Moffett Field, CA United States)
Date Acquired
August 19, 2013
Publication Date
January 1, 1989
Publication Information
Publication: International Journal of Supercomputer Applications
Publisher: Massachusetts Inst. of Technology
Volume: 3
Issue: 4
Subject Category
Computer Programming And Software
Distribution Limits
Public
Copyright
Other

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