OSS: Efficient Compiler Approach for Selecting Optimal Strip Size on the Imagine Stream Processor

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22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008)

March 25-March 28

ISBN: 978-0-7695-3096-3

	ASCII Text	x
	Jing Du, Canqun Yang, Fujiang Ao, Xuejun Yang, "OSS: Efficient Compiler Approach for Selecting Optimal Strip Size on the Imagine Stream Processor," Advanced Information Networking and Applications Workshops, International Conference on, pp. 337-342, 22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008), 2008.

	BibTex	x
	@article{ 10.1109/WAINA.2008.63, author = {Jing Du and Canqun Yang and Fujiang Ao and Xuejun Yang}, title = {OSS: Efficient Compiler Approach for Selecting Optimal Strip Size on the Imagine Stream Processor}, journal ={Advanced Information Networking and Applications Workshops, International Conference on}, volume = {0}, year = {2008}, isbn = {978-0-7695-3096-3}, pages = {337-342}, doi = {http://doi.ieeecomputersociety.org/10.1109/WAINA.2008.63}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Advanced Information Networking and Applications Workshops, International Conference on TI - OSS: Efficient Compiler Approach for Selecting Optimal Strip Size on the Imagine Stream Processor SN - 978-0-7695-3096-3 SP337 EP342 A1 - Jing Du, A1 - Canqun Yang, A1 - Fujiang Ao, A1 - Xuejun Yang, PY - 2008 KW - null VL - 0 JA - Advanced Information Networking and Applications Workshops, International Conference on ER -

Jing Du

Canqun Yang

Fujiang Ao

Xuejun Yang

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WAINA.2008.63

Strip-mining technique is critical for improving performance of large-scale scientific applications on Imagine. In this paper, we present a model-guided strip size selection approach (OSS) for finding the optimal strip size to minimize the execution time. Our strategy consists of a detailed analytical model that characterizes the effect of strip size on program behavior. Then according to the model analysis, we design a simple strip size selection strategy, that is, the optimal strip size is 512 words. Our experimental results show that when the optimal strip size is used, the execution time is close to the experimentally best. It is certain that our strategy can efficiently exploit the tremendous potential of Imagine.

Citation:

Jing Du, Canqun Yang, Fujiang Ao, Xuejun Yang, "OSS: Efficient Compiler Approach for Selecting Optimal Strip Size on the Imagine Stream Processor," ainaw, pp.337-342, 22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008), 2008

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