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Performance prediction and procurement in practice : assessing the suitability of commodity cluster components for wavefront codes
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Hammond, Simon D., Mudalige, Gihan R., Smith, J. A., Davis, J. A., Mills, A. B., Jarvis, Stephen A., Holt, J., Miller, I., Herdman, J. A. and Vadgama, A. (2009) Performance prediction and procurement in practice : assessing the suitability of commodity cluster components for wavefront codes. IET Software, Volume 3 (Number 6). pp. 509-521. doi:10.1049/iet-sen.2009.0007 ISSN 1751-8806.
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performance_prediction_and_procurement_in_practice_-_assessing_the_suitability_of_commodity_cluster_components_for_wavefront_codes_journal.pdf - Published Version Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer. Download (1043Kb) |
Official URL: http://dx.doi.org/10.1049/iet-sen.2009.0007
Abstract
The cost of state-of-the-art supercomputing resources makes each individual purchase a length and expensive process. Often each candidate architecture will need to be benchmarked using a variety of tools to assess likely performance. However, benchmarking alone only provides a limited insight into the suitability of each architecture for key codes and will give potentially misleading results when assessing their scalability. In this study the authors present a case study of the application of recently developed performance models of the Chimaera benchmarking code written by the United Kingdom Atomic Weapons Establishment (AWE), with a view to analysing how the code will perform and scale on a medium sized, commodity-based InfiniBand cluster. The models are validated and demonstrate a greater than 90% accuracy for an existing InfiniBand machine; the models are then used as the basis for predicting code performance on a variety of alternative hardware configurations which include changes in the underlying network, the use of faster processors and the use of a higher core density per processor. The results demonstrate the compute-bound nature of Chimaera and its sensitivity to network latency at increased processor counts. By using these insights the authors are able to discuss potential strategies which may be employed during the procurement of future mid-range clusters for wavefront-rich workloads.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Journal or Publication Title: | IET Software | ||||
Publisher: | Institute of Engineering and Technology | ||||
ISSN: | 1751-8806 | ||||
Official Date: | December 2009 | ||||
Dates: |
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Volume: | Volume 3 | ||||
Number: | Number 6 | ||||
Number of Pages: | 13 | ||||
Page Range: | pp. 509-521 | ||||
DOI: | 10.1049/iet-sen.2009.0007 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Date of first compliant deposit: | 8 December 2015 | ||||
Funder: | Science Research Investment Fund, United Kingdom Atomic Weapons Establishment | ||||
Grant number: | CDK0660; CDK0724 |
Data sourced from Thomson Reuters' Web of Knowledge
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