Methodology to evaluate performance of the I/O systems on High Performance Computers

Authors

  • Sandra Méndez Computer Architecture and Operating System Department (CAOS), Universitat Autònoma de Barcelona, Barcelona, Spain
  • Dolores Rexachs Computer Architecture and Operating System Department (CAOS), Universitat Autònoma de Barcelona, Barcelona, Spain

Abstract

Extracting the performance characteristics of the different I/O configurations of the I/O system. These activities are independent. The characterization of application is done off-line and the application I/O model can be applied to analyze different target systems. The application I/O model is defined by three characteristics: metadata, spatial global pattern and temporal global pattern. The I/O model of the application is expressed by I/O phases, where an I/O phase is a repetitive sequence of same pattern on a file for a number of processes of the parallel application. A phase will be significant depending on data transferred that represent its weight.

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References

[1] S. Méndez, D. Rexachs, and E. Luque, “Methodology for Performance Evaluation of the Input/Output System on Computer Clusters,” in Workshop IASDS on Cluster Computing (CLUSTER), 2011 IEEE International Conference on, sept. 2011, pp. 474 –483.
[2] S. Méndez, J. Panadero, A. Wong, D. Rexachs, and E. Luque, “A new approach for analyzing I/O in
parallel scientific applications,” in CACIC 12, Congreso Argentino de Ciencias de la Computacion, 2012, pp. 337–346.
[3] S. Méndez, D. Rexachs, and E. Luque, “Modeling Parallel Scientific Applications through their Input/Output Phases,” in CLUSTER Workshops’12, 2012 IEEE International Conference on, sept. 2012, pp. 7–15.
[4] H. Shan and J. Shalf, “Using IOR to analyze the I/O performance for HPC platforms,” LBNL Paper LBNL-62647, Tech. Rep., 2007. [Online]. Available: www.osti.gov/bridge/servlets/purl/ 923356-15FxGK/
[5] M. Liu, J. Zhai, Y. Zhai, X. Ma, and W. Chen, “One optimized I/O configuration per HPC application: leveraging the configurability of cloud,” in Proceedings of the Second Asia-Pacific Workshop on Systems, ser. APSys ’11. New York, NY, USA: ACM, 2011, pp. 15:1–15:5.

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Published

2018-04-13

How to Cite

Méndez, S., & Rexachs, D. (2018). Methodology to evaluate performance of the I/O systems on High Performance Computers. Journal of Computer Science and Technology, 13(03), p. 173–174. Retrieved from https://journal.info.unlp.edu.ar/JCST/article/view/587

Issue

Vol. 13 No. 03 (2013): Thirty-Seventh Issue

Section

Thesis Overview

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