Analyzing the parallel scalability of an implicit unstructured mesh CFD code

W. D. Gropp; Dinesh Kumar Kaushik; D. E. Keyes; B. F. Smith

doi:10.1007/3-540-44467-x_36

Analyzing the parallel scalability of an implicit unstructured mesh CFD code

W. D. Gropp, Dinesh Kumar Kaushik, D. E. Keyes, B. F. Smith

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

In this paper, we identify the scalability bottlenecks of an unstructured grid CFD code (PETSc-FUN3D) by studying the impact of several algorithmic and architectural parameters and by examiningdif ferent programmingmodels. We discuss the basic performance characteristics of this PDE code with the help of simple performance models developed in our earlier work, presentingprimarily experimental results. In addition to achievingg ood per-processor performance (which has been addressed in our cited work and without which scalability claims are suspect) we strive to improve the implementation and convergence scalability of PETSc-FUN3D on thousands of processors.

Original language	English (US)
Title of host publication	High Performance Computing - HiPC 2000 - 7th International Conference, Proceedings
Editors	Mateo Valero, Viktor K. Prasanna, Sriram Vajapeyam
Publisher	Springer Verlag
Pages	395-404
Number of pages	10
ISBN (Print)	3540414290, 9783540414292
DOIs	https://doi.org/10.1007/3-540-44467-x_36
State	Published - 2000
Externally published	Yes
Event	7th International Conference on High Performance Computing, HiPC 2000 - Bangalore, India Duration: Dec 17 2000 → Dec 20 2000

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1970
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	7th International Conference on High Performance Computing, HiPC 2000
Country/Territory	India
City	Bangalore
Period	12/17/00 → 12/20/00

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2000.

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/3-540-44467-x_36

Cite this

Gropp, W. D., Kaushik, D. K., Keyes, D. E., & Smith, B. F. (2000). Analyzing the parallel scalability of an implicit unstructured mesh CFD code. In M. Valero, V. K. Prasanna, & S. Vajapeyam (Eds.), High Performance Computing - HiPC 2000 - 7th International Conference, Proceedings (pp. 395-404). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1970). Springer Verlag. https://doi.org/10.1007/3-540-44467-x_36

Gropp, W. D. ; Kaushik, Dinesh Kumar ; Keyes, D. E. et al. / Analyzing the parallel scalability of an implicit unstructured mesh CFD code. High Performance Computing - HiPC 2000 - 7th International Conference, Proceedings. editor / Mateo Valero ; Viktor K. Prasanna ; Sriram Vajapeyam. Springer Verlag, 2000. pp. 395-404 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "In this paper, we identify the scalability bottlenecks of an unstructured grid CFD code (PETSc-FUN3D) by studying the impact of several algorithmic and architectural parameters and by examiningdif ferent programmingmodels. We discuss the basic performance characteristics of this PDE code with the help of simple performance models developed in our earlier work, presentingprimarily experimental results. In addition to achievingg ood per-processor performance (which has been addressed in our cited work and without which scalability claims are suspect) we strive to improve the implementation and convergence scalability of PETSc-FUN3D on thousands of processors.",

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Gropp, WD, Kaushik, DK, Keyes, DE & Smith, BF 2000, Analyzing the parallel scalability of an implicit unstructured mesh CFD code. in M Valero, VK Prasanna & S Vajapeyam (eds), High Performance Computing - HiPC 2000 - 7th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1970, Springer Verlag, pp. 395-404, 7th International Conference on High Performance Computing, HiPC 2000, Bangalore, India, 12/17/00. https://doi.org/10.1007/3-540-44467-x_36

Analyzing the parallel scalability of an implicit unstructured mesh CFD code. / Gropp, W. D.; Kaushik, Dinesh Kumar; Keyes, D. E. et al.
High Performance Computing - HiPC 2000 - 7th International Conference, Proceedings. ed. / Mateo Valero; Viktor K. Prasanna; Sriram Vajapeyam. Springer Verlag, 2000. p. 395-404 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1970).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In this paper, we identify the scalability bottlenecks of an unstructured grid CFD code (PETSc-FUN3D) by studying the impact of several algorithmic and architectural parameters and by examiningdif ferent programmingmodels. We discuss the basic performance characteristics of this PDE code with the help of simple performance models developed in our earlier work, presentingprimarily experimental results. In addition to achievingg ood per-processor performance (which has been addressed in our cited work and without which scalability claims are suspect) we strive to improve the implementation and convergence scalability of PETSc-FUN3D on thousands of processors.

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Gropp WD, Kaushik DK, Keyes DE, Smith BF. Analyzing the parallel scalability of an implicit unstructured mesh CFD code. In Valero M, Prasanna VK, Vajapeyam S, editors, High Performance Computing - HiPC 2000 - 7th International Conference, Proceedings. Springer Verlag. 2000. p. 395-404. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/3-540-44467-x_36

Analyzing the parallel scalability of an implicit unstructured mesh CFD code

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