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Analytical performance prediction on multicomputers

Authors:

M. J. Clement,

M. J. QuinnAuthors Info & Claims

Supercomputing '93: Proceedings of the 1993 ACM/IEEE conference on Supercomputing

Pages 886 - 894

https://doi.org/10.1145/169627.169856

Published: 01 December 1993 Publication History

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References

[1]

M. Annaratone and R. Ruhl. Balancing interprocessor communication and computation on torusconnected multicomputers running compilerparallelized code. In Proceedings SHPCC 92, pages 358-365, March 1992.

Google Scholar

[2]

V. Balasunderam, G. Fox, K. Kennedy, and U. Kremer. A static performance estimator to guide data partitioning decisions. SIGPLAN Notices, 26(7):213- 223, July 1991.

Digital Library

Google Scholar

[3]

R. G. Born and J. R. Kenevan. Theoretical performance-based cost-effectiveness of multicomputers. The Computer Journal, 35(1):63-70, 1992.

Digital Library

Google Scholar

[4]

T. Fahringer and H. P. Zima. A static parameter based performance prediction tool for parallel progro~ms. Tcchnl~~l Report ACPC/TR 03- 1, University of Vienna Department of Computer Science, January 1993.

Google Scholar

[5]

H. P. Flatt. Further results using the overhead model for parallel systems. IBM J. Res. Develop., 35:721 - 726, 1991.

Digital Library

Google Scholar

[6]

H. P. Flatt and K. Kennedy. Performance of parallel processors. Parallel Computing, 12:1- 20, 1989.

Crossref

Google Scholar

[7]

A. J. Goldberg and J. L. Hennessy. Mtool: An integrated system for performance debugging shared memory multiprocessor applications. IEEE Transactions on Parallel and D~strzbuted Systems, 4(1):28-40, January 1993.

Digital Library

Google Scholar

[8]

J. L. Gustafson, G. R. Montry, and R. E. Benner. Development of parallel methods for a 1024- processor hypercube. SIAM J. Sci. S~a~. Compu~., 9(4):609-639, July 1988.

Digital Library

Google Scholar

[9]

P. J. Hatcher and M. J. Quinn. Data-Parallel Programming on MIMD Computers. The MIT Press, Cambridge, Massachusetts, 1991.

Digital Library

Google Scholar

[10]

R. W. Hockney and E. A. Carmona. Comparison of communications on the intel ipsc/860 and touchstone delta. Parallel Computing, 18(9):1067 - 1072, 1992.

Crossref

Google Scholar

[11]

Intel Corporation. Paragon OSF/1 C Compiler User's Guide, January 1993.

Google Scholar

[12]

A. Kapelnikov, R. R. Muntz, and M. D. Ercegovac. A methodology for performance analysis of parallel computations with looping constructs. Journal of Parallel and Distribuled Compu~zng, 14(2):105-120, February 1992.

Digital Library

Google Scholar

[13]

D. McCallum and M. J. Quinn. A graphical user interface for data-parallel programming. Ill Proceedings of the 26~h Hawaii International Conference on System Sciences, pages 5-13. IEEE Computer Society Press, 1993.

Crossref

Google Scholar

[14]

D. Morris and D. Evans. Modelling distributed and parallel computer systems. Parallel Computzng, 18(7):793-806, July 1992.

Crossref

Google Scholar

[15]

S. A. Moyer. Performance of the ipsc/860 node architecture. Technical Report IPC-TR-91-007, Instidute for Parallel Computation, School of Engineering and Applied Science, University of Virginia, May 17, 1991.

Digital Library

Google Scholar

[16]

D. Muller-Wiehard~. Problom ~izo ~caling in the presence of parallel overhead. Parallel Computzng, 17(12):1361- 1376, December 1991.

Digital Library

Google Scholar

[17]

T. von Eicken, D. E. Culler, S. C. Goldstein, and K. E. Schauser. Active messages: A mechanism for integrated communication and computation. Technical Report UCB/CSD 92/#675, Computer Science Division- EECS, University of California, Berkeley, CA 94720, March 1992.

Digital Library

Google Scholar

[18]

X. Zhang. Performance measurement and modeling to evaluate various effects oll a shared memory multiprocessor. IEEE Trans. Software Engineering, 17(1):87-93, January 1991.

Digital Library

Google Scholar

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https://doi.org/10.1109/ACCESS.2022.3147846
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Analytical performance prediction on multicomputers

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Supercomputing '93: Proceedings of the 1993 ACM/IEEE conference on Supercomputing

December 1993

935 pages

ISBN:0818643404

DOI:10.1145/169627

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 01 December 1993

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SC '93: International Conference for High Performance Computing, Networking, Storage and Analysis

November 15 - 19, 1993

Oregon, Portland, USA

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Supercomputing '93 Paper Acceptance Rate 72 of 300 submissions, 24%;

Overall Acceptance Rate 1,516 of 6,373 submissions, 24%

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Yang MČufar MPahl EBrand J(2022)Polaron-Depleton Transition in the Yrast Excitations of a One-Dimensional Bose Gas with a Mobile ImpurityCondensed Matter10.3390/condmat70100157:1(15)Online publication date: 26-Jan-2022
https://doi.org/10.3390/condmat7010015
Mustafa D(2022)A Survey of Performance Tuning Techniques and Tools for Parallel ApplicationsIEEE Access10.1109/ACCESS.2022.314784610(15036-15055)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3147846
Agapov EBobrov LZaykov K(2021)Specificity of Task Scheduling Algorithms in Geographically Distributed Computer SystemsVestnik NSUEM10.34020/2073-6495-2021-3-019-030(19-30)Online publication date: 9-Oct-2021
https://doi.org/10.34020/2073-6495-2021-3-019-030
Zhang JSun JZhou WSun G(2020)An Active Learning Method for Empirical Modeling in Performance Tuning2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS)10.1109/IPDPS47924.2020.00034(244-253)Online publication date: May-2020
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Kalyuzhnaya ANasonov DIvanov SKosukhin SBoukhanovsky A(2018)Towards a scenario-based solution for extreme metocean event simulation applying urgent computingFuture Generation Computer Systems10.1016/j.future.2017.05.04979:P2(604-617)Online publication date: 1-Feb-2018
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Ogilvie WPetoumenos PWang ZLeather HReddi VSmith ATang L(2017)Minimizing the cost of iterative compilation with active learningProceedings of the 2017 International Symposium on Code Generation and Optimization10.5555/3049832.3049859(245-256)Online publication date: 4-Feb-2017
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Ogilvie WPetoumenos PWang ZLeather H(2017)Minimizing the cost of iterative compilation with active learning2017 IEEE/ACM International Symposium on Code Generation and Optimization (CGO)10.1109/CGO.2017.7863744(245-256)Online publication date: Feb-2017
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Jain NBhatele AWhite SGamblin TKale LWest J(2016)Evaluating HPC networks via simulation of parallel workloadsProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis10.5555/3014904.3014923(1-12)Online publication date: 13-Nov-2016
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Ogilvie WPetoumenos PWang ZLeather H(2015)Fast Automatic Heuristic Construction Using Active LearningLanguages and Compilers for Parallel Computing10.1007/978-3-319-17473-0_10(146-160)Online publication date: 1-May-2015
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Performance scalability prediction on multicomputers

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Performance scalability prediction on multicomputers

An analytical approach for network-on-chip performance analysis

Analytical Performance Modeling of Hierarchical Interconnect Fabrics

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