Toward automatic performance tuning for numerical simulations in the SILC matrix computation framework

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This paper 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.
Original languageUnknown
Title of host publicationSoftware Automatic Tuning: From Concepts to the State-of-the-Art Results
EditorsK Naono, K Teranishi, J Cavazos, R Suda
Place of PublicationNew York, USA
PublisherSpringer
Pages175-192
ISBN (Print)978-1-4419-6934-7
Publication statusPublished - 1 Jan 2010

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