Abstract
This chapter presents a performance modeling method for numerical simulations in the SILC matrix computation framework. An application program of SILC is a client of a SILC server that provides the client with access to matrix computation libraries in an environment- and language-independent manner. The scope of the present study is to model the performance of a SILC client conducting a numerical simulation by means of a parallel SILC server running on a shared-memory parallel machine. The proposed method employs a simple performance model that describes the execution time of a SILC client as a function of the number of threads on which a parallel SILC server runs. The obtained performance model is then used to determine the optimal number of threads for the particular combination of the SILC client and server. The proposed method was applied to three application programs in combination with an OpenMP-based parallel SILC server running on SGI Altix 3700. Experimental results showed that the proposed method yields accurate estimates of the execution time in most cases. Based on the proposed performance modeling method, an automatic performance tuning mechanism for numerical simulations in SILC is also presented.
The work reported in this chapter was done in the context of the previous affiliation as follows: CREST, Japan Science and Technology Agency, Saitama 332–0012, Japan.
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Acknowledgments
We would like to thank anonymous reviewers for their careful review and valuable comments on the manuscript. This research was supported by a grant-in-aid project [19] in the Core Research for Evolutional Science and Technology (CREST) program of the Japan Science and Technology Agency.
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Kajiyama, T., Nukada, A., Suda, R., Hasegawa, H., Nishida, A. (2011). Toward Automatic Performance Tuning for Numerical Simulations in the SILC Matrix Computation Framework. In: Naono, K., Teranishi, K., Cavazos, J., Suda, R. (eds) Software Automatic Tuning. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6935-4_11
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