Performance Evaluation of Applications for Heterogeneous Systems by means of Performance Probes

Authors

  • Alexandre Otto Strube Computer Architecture and Operating Systems Department, Universitat Autónoma de Barcelona, Spain

Keywords:

task, node

Abstract

This work describes a novel way to select the best computer node out of a pool of available potentially heterogeneous computing nodes for the execution of computational tasks. This is a very basic and difficult problem of computer science and computing centres tried to get around it by using only homogeneous compute clusters. Usually this fails as like any technical equipment, clusters get extended, adapted or repaired over time, and you end up with a heterogeneous configuration.

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References

[1] I Al-Furiah, S Aluru, S Goil, and S Ranka. Practical algorithms for selection on coarse-grained parallel computers. IEEE Transactions on Parallel and Distributed Systems, Jan 1997.
[2] Eduardo Argollo and Emilio Luque. Performance prediction and tuning in a multi-cluster environment. Ph.D. Dissertation, Oct 2006.
[3] J Barbosa, J Tavares, and A.J Padilha. Linear algebra algorithms in heterogeneous cluster of personal
computers. hcw, 00:147, 2000.
[4] P. Fritzsche. Podemos Predecir en Algoritmos Paralelos no Deterministas? Ph.D. dissertation, 2007.

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Published

2012-04-02

How to Cite

Strube, A. O. (2012). Performance Evaluation of Applications for Heterogeneous Systems by means of Performance Probes. Journal of Computer Science and Technology, 12(01), p. 41–42. Retrieved from https://journal.info.unlp.edu.ar/JCST/article/view/667

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