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Title:High-performance spectral simulation of turbulent flows in massively parallel machines with distributed memory
Author(s):Cortese, Thomas A.; Balachandar, S.
Subject(s):Turbulent Flows
Parallel Machines
Distributed Memory
Spectral Simulation
Abstract:Here we have demonstrated the possibility of very high performance in the implementation of a global spectral methodology on a massively parallel architecture with distributed memory. Spectral simulations of channel flow and thermal convection in a three-dimensional Cartesian geometry have yielded a very high performance - up to 26 Gigaflops per second on a 512 node CM5. In general, implementation of spectral methodology in parallel processors with distributed memory requires non-local inter processor data transfer, which are not restricted to be between nearest neighbors. In spite of their increased communication overhead, better performance is possible in global methodologies owing to their dense matrix operations and organized data communication. In this paper we outline a general methodology for the data parallel implementation of spectral methods on massively parallel machines with distributed memory and following the steps presented here very high performance can be obtained on a wide variety of massively parallel architectures.
Issue Date:1994-08
Publisher:Department of Theoretical and Applied Mechanics. College of Engineering. University of Illinois at Urbana-Champaign
Series/Report:TAM R 765
1994-6021
Genre:Technical Report
Type:Text
Language:English
URI:http://hdl.handle.net/2142/112458
ISSN:0073-5264
Sponsor:National Science Foundation 94/08
Rights Information:Copyright 1994 Board of Trustees of the University of Illinois
Date Available in IDEALS:2021-11-04


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  • Technical Reports - Theoretical and Applied Mechanics (TAM)
    TAM technical reports include manuscripts intended for publication, theses judged to have general interest, notes prepared for short courses, symposia compiled from outstanding undergraduate projects, and reports prepared for research-sponsoring agencies.

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