Abstract
Recently, GPU has been widely used in High Performance Computing (HPC). In order to improve computational performance, several GPUs are integrated into one computer node in practical system. However, power consumption of GPUs is very high and becomes as bottleneck to its further development. In doing so, optimizing power consumption have been draw broad attention in the research area and industry community. In this paper, we present an energy optimization model considering performance constraint for homogeneous multi-GPUs, and propose a performance prediction model when task partitioning policy is specified. Experiment results validate that the model can accurately predict the execution of program for single or multiple GPUs, and thus reduce static power consumption by the guide of task partition.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Luebke, D., Harris, M., Govindaraju, N., Lefohn, A., Houston, M., Owens, J., Segal, M., Papakipos, M., Buck, I.: In: Proceedings of the 2006 ACM/IEEE Conference on Supercomputing, SC 2006. ACM, New York (2006)
Yang, X.J., Liao, X.K., Lu, K., Hu, Q.F., Song, J.Q., Su, J.S.: Journal of Computer Science and Technology 26(3), 344 (2011)
Top500, http://www.top500.org
Yang, X., Liao, X., Xu, W., Song, J., Hu, Q., Su, J., Xiao, L., Lu, K., Dou, Q., Jiang, J., Yang, C.: Frontiers of Computer Science in China 4(4), 445 (2010)
Schaller, R.: IEEE Spectrum 34(6), 52 (1997)
Bakhoda, A., Yuan, G., Fung, W., Wong, H., Aamodt, T.: In: IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2009, pp. 163–174 (2009)
Black, F., Scholes, M.: The pricing of options and corporate liabilities. Political Economy 81 (1973)
Matsumoto, M., Nishimura, T.: ACM Trans. Model. Comput. Simul. 8, 3 (1998)
Bratley, P., Fox, B.L.: ACM Trans. Math. Softw. 14, 88 (1988)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag GmbH Berlin Heidelberg
About this paper
Cite this paper
Lin, Y., Tang, T., Wang, G. (2012). Static Power Optimization for Homogeneous Multiple GPUs Based on Task Partition. In: Gaol, F., Nguyen, Q. (eds) Proceedings of the 2011 2nd International Congress on Computer Applications and Computational Science. Advances in Intelligent and Soft Computing, vol 145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28308-6_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-28308-6_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28307-9
Online ISBN: 978-3-642-28308-6
eBook Packages: EngineeringEngineering (R0)