Automatic Selection of Compiler Options Using Non-parametric Inferential Statistics

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	Similar Articles Articles by M. Haneda Articles by P.M.W. Knijnenburg Articles by H.A.G. Wijshoff

14th International Conference on Parallel Architectures and Compilation Techniques (PACT'05)

St. Louis, Missouri

September 17-September 21

ISBN: 0-7695-2429-X

	ASCII Text	x
	M. Haneda, P.M.W. Knijnenburg, H.A.G. Wijshoff, "Automatic Selection of Compiler Options Using Non-parametric Inferential Statistics," Parallel Architectures and Compilation Techniques, International Conference on, pp. 123-132, 14th International Conference on Parallel Architectures and Compilation Techniques (PACT'05), 2005.

	BibTex	x
	@article{ 10.1109/PACT.2005.9, author = {M. Haneda and P.M.W. Knijnenburg and H.A.G. Wijshoff}, title = {Automatic Selection of Compiler Options Using Non-parametric Inferential Statistics}, journal ={Parallel Architectures and Compilation Techniques, International Conference on}, volume = {0}, year = {2005}, issn = {1089-795X}, pages = {123-132}, doi = {http://doi.ieeecomputersociety.org/10.1109/PACT.2005.9}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Parallel Architectures and Compilation Techniques, International Conference on TI - Automatic Selection of Compiler Options Using Non-parametric Inferential Statistics SN - 1089-795X SP123 EP132 A1 - M. Haneda, A1 - P.M.W. Knijnenburg, A1 - H.A.G. Wijshoff, PY - 2005 KW - null VL - 0 JA - Parallel Architectures and Compilation Techniques, International Conference on ER -

M. Haneda, LIACS, Leiden University The Netherlands

P.M.W. Knijnenburg, LIACS, Leiden University The Netherlands

H.A.G. Wijshoff, LIACS, Leiden University The Netherlands

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PACT.2005.9

In this paper, we propose a statistical method to determine the setting of compiler options. Conventionally, programmers use standard -Ox settings which are provided by compiler developers. However, in order to obtain maximal performance, it is necessary to tune the compiler setting for the application as well as the underlying architecture. In this paper, we propose a methodology to con?gure compiler options automatically using pro?le information. We apply non-parametric statistical analysis, in particular the Mann-Whitney test, to decide whether to turn on or to turn off compiler flags. This approach produces compiler settings of gcc 3.3.1 for the SPEC2000 benchmark suite that outperform the standard -Ox switches on a Pentium 4 processor.

Citation:

M. Haneda, P.M.W. Knijnenburg, H.A.G. Wijshoff, "Automatic Selection of Compiler Options Using Non-parametric Inferential Statistics," pact, pp.123-132, 14th International Conference on Parallel Architectures and Compilation Techniques (PACT'05), 2005

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