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Title: High performance parallel implicit CFD.

Abstract

Fluid dynamical simulations based on finite discretizations on (quasi-)static grids scale well in parallel, but execute at a disappointing percentage of per-processor peak floating point operation rates without special attention to layout and access ordering of data. We document both claims from our experience with an unstructured grid CFD code that is typical of the state of the practice at NASA. These basic performance characteristics of PDE-based codes can be understood with surprisingly simple models, for which we quote earlier work, presenting primarily experimental results. The performance models and experimental results motivate algorithmic and software practices that lead to improvements in both parallel scalability and per node performance. This snapshot of ongoing work updates our 1999 Bell Prize-winning simulation on ASCI computers.

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC); National Science Foundation (NSF)
OSTI Identifier:
943180
Report Number(s):
ANL/MCS/JA-38061
Journal ID: ISSN 0167-8191; PACOEJ; TRN: US201002%%657
DOE Contract Number:
DE-AC02-06CH11357
Resource Type:
Journal Article
Resource Relation:
Journal Name: Parallel Comput.; Journal Volume: 27; Journal Issue: 4 ; Mar. 2001
Country of Publication:
United States
Language:
ENGLISH
Subject:
97 MATHEMATICAL METHODS AND COMPUTING; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ALGORITHMS; COMPUTER CODES; COMPUTERS; COMPUTERIZED SIMULATION; FLUID MECHANICS; NASA; PERFORMANCE

Citation Formats

Gropp, W. D., Kaushik, D. K., Keyes, D. E., Smith, B. F., Mathematics and Computer Science, and Old Dominion Univ.. High performance parallel implicit CFD.. United States: N. p., 2001. Web. doi:10.1016/S0167-8191(00)00075-2.
Gropp, W. D., Kaushik, D. K., Keyes, D. E., Smith, B. F., Mathematics and Computer Science, & Old Dominion Univ.. High performance parallel implicit CFD.. United States. doi:10.1016/S0167-8191(00)00075-2.
Gropp, W. D., Kaushik, D. K., Keyes, D. E., Smith, B. F., Mathematics and Computer Science, and Old Dominion Univ.. Thu . "High performance parallel implicit CFD.". United States. doi:10.1016/S0167-8191(00)00075-2.
@article{osti_943180,
title = {High performance parallel implicit CFD.},
author = {Gropp, W. D. and Kaushik, D. K. and Keyes, D. E. and Smith, B. F. and Mathematics and Computer Science and Old Dominion Univ.},
abstractNote = {Fluid dynamical simulations based on finite discretizations on (quasi-)static grids scale well in parallel, but execute at a disappointing percentage of per-processor peak floating point operation rates without special attention to layout and access ordering of data. We document both claims from our experience with an unstructured grid CFD code that is typical of the state of the practice at NASA. These basic performance characteristics of PDE-based codes can be understood with surprisingly simple models, for which we quote earlier work, presenting primarily experimental results. The performance models and experimental results motivate algorithmic and software practices that lead to improvements in both parallel scalability and per node performance. This snapshot of ongoing work updates our 1999 Bell Prize-winning simulation on ASCI computers.},
doi = {10.1016/S0167-8191(00)00075-2},
journal = {Parallel Comput.},
number = 4 ; Mar. 2001,
volume = 27,
place = {United States},
year = {Thu Mar 01 00:00:00 EST 2001},
month = {Thu Mar 01 00:00:00 EST 2001}
}