The development of a data-driven application benchmarking approach to performance modelling

A. Osprey; G. D. Riley; M. Manjunathaiah; B. N. Lawrence

doi:10.1109/HPCSim.2014.6903760

The development of a data-driven application benchmarking approach to performance modelling

A. Osprey
, G. D. Riley
, M. Manjunathaiah
, B. N. Lawrence

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

1 Citation (Scopus)

Abstract

Performance modelling is a useful tool in the lifeycle of high performance scientific software, such as weather and climate models, especially as a means of ensuring efficient use of available computing resources. In particular, sufficiently accurate performance prediction could reduce the effort and experimental computer time required when porting and optimising a climate model to a new machine.

Original language	English
Title of host publication	Proceedings of the 2014 International Conference on High Performance Computing and Simulation, HPCS 2014
Editors	Waleed Smari, Vesna Zeljkovic
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	715-723
Number of pages	9
ISBN (Electronic)	9781479953127
DOIs	https://doi.org/10.1109/HPCSim.2014.6903760
Publication status	Published - 18 Sept 2014
Event	2014 International Conference on High Performance Computing and Simulation, HPCS 2014 - Bologna, Italy Duration: 21 Jul 2014 → 25 Jul 2014

Conference

Conference	2014 International Conference on High Performance Computing and Simulation, HPCS 2014
Country/Territory	Italy
City	Bologna
Period	21/07/14 → 25/07/14

Keywords

benchmarking
multicore
Performance modelling
shallow water model

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10.1109/HPCSim.2014.6903760Licence: Other

Cite this

Osprey, A., Riley, G. D., Manjunathaiah, M., & Lawrence, B. N. (2014). The development of a data-driven application benchmarking approach to performance modelling. In W. Smari, & V. Zeljkovic (Eds.), Proceedings of the 2014 International Conference on High Performance Computing and Simulation, HPCS 2014 (pp. 715-723). Article 6903760 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/HPCSim.2014.6903760

Osprey, A. ; Riley, G. D. ; Manjunathaiah, M. et al. / The development of a data-driven application benchmarking approach to performance modelling. Proceedings of the 2014 International Conference on High Performance Computing and Simulation, HPCS 2014. editor / Waleed Smari ; Vesna Zeljkovic. Institute of Electrical and Electronics Engineers (IEEE), 2014. pp. 715-723

@inproceedings{0b607987fd2e4eedba5fd749497594dd,

title = "The development of a data-driven application benchmarking approach to performance modelling",

abstract = "Performance modelling is a useful tool in the lifeycle of high performance scientific software, such as weather and climate models, especially as a means of ensuring efficient use of available computing resources. In particular, sufficiently accurate performance prediction could reduce the effort and experimental computer time required when porting and optimising a climate model to a new machine.",

keywords = "benchmarking, multicore, Performance modelling, shallow water model",

author = "A. Osprey and Riley, \{G. D.\} and M. Manjunathaiah and Lawrence, \{B. N.\}",

year = "2014",

month = sep,

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doi = "10.1109/HPCSim.2014.6903760",

language = "English",

pages = "715--723",

editor = "Waleed Smari and Vesna Zeljkovic",

booktitle = "Proceedings of the 2014 International Conference on High Performance Computing and Simulation, HPCS 2014",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2014 International Conference on High Performance Computing and Simulation, HPCS 2014 ; Conference date: 21-07-2014 Through 25-07-2014",

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Osprey, A, Riley, GD, Manjunathaiah, M & Lawrence, BN 2014, The development of a data-driven application benchmarking approach to performance modelling. in W Smari & V Zeljkovic (eds), Proceedings of the 2014 International Conference on High Performance Computing and Simulation, HPCS 2014., 6903760, Institute of Electrical and Electronics Engineers (IEEE), pp. 715-723, 2014 International Conference on High Performance Computing and Simulation, HPCS 2014, Bologna, Italy, 21/07/14. https://doi.org/10.1109/HPCSim.2014.6903760

The development of a data-driven application benchmarking approach to performance modelling. / Osprey, A.; Riley, G. D.; Manjunathaiah, M. et al.
Proceedings of the 2014 International Conference on High Performance Computing and Simulation, HPCS 2014. ed. / Waleed Smari; Vesna Zeljkovic. Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 715-723 6903760.

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

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T1 - The development of a data-driven application benchmarking approach to performance modelling

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AU - Manjunathaiah, M.

AU - Lawrence, B. N.

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Y1 - 2014/9/18

N2 - Performance modelling is a useful tool in the lifeycle of high performance scientific software, such as weather and climate models, especially as a means of ensuring efficient use of available computing resources. In particular, sufficiently accurate performance prediction could reduce the effort and experimental computer time required when porting and optimising a climate model to a new machine.

AB - Performance modelling is a useful tool in the lifeycle of high performance scientific software, such as weather and climate models, especially as a means of ensuring efficient use of available computing resources. In particular, sufficiently accurate performance prediction could reduce the effort and experimental computer time required when porting and optimising a climate model to a new machine.

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KW - multicore

KW - Performance modelling

KW - shallow water model

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DO - 10.1109/HPCSim.2014.6903760

M3 - Conference contribution

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EP - 723

BT - Proceedings of the 2014 International Conference on High Performance Computing and Simulation, HPCS 2014

A2 - Smari, Waleed

A2 - Zeljkovic, Vesna

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2014 International Conference on High Performance Computing and Simulation, HPCS 2014

Y2 - 21 July 2014 through 25 July 2014

ER -

Osprey A, Riley GD, Manjunathaiah M, Lawrence BN. The development of a data-driven application benchmarking approach to performance modelling. In Smari W, Zeljkovic V, editors, Proceedings of the 2014 International Conference on High Performance Computing and Simulation, HPCS 2014. Institute of Electrical and Electronics Engineers (IEEE). 2014. p. 715-723. 6903760 doi: 10.1109/HPCSim.2014.6903760

The development of a data-driven application benchmarking approach to performance modelling

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