Document Type: Original Article

Author

Department of Engineering and Research Branch, Mazandaran Branch, Islamic Azad University, Mazandaran, Iran

Abstract

Present concerns about the amount and intensity of power in modern processors have been led to significant computer architecture research efforts in power-aware and temperature-aware calculations. Sincepower dissipation becomes an irritating growing problem, the graphic processor unit (GPU) analysis of power and its components is very difficult to design software and hardware systems.At present, GPU has become to an integral part of computing systems mainstream with multi-core multidisciplinary processors, with high symmetry and balance and high computational power and memory very high-bandwidth.To find the rules and principles of power-aware programming with GPU accelerators, we exploit a set of the basics fromprogramming languages. These power consumption amounts are efficient to estimate and evaluate the power during high-level programs development.

Keywords

Hans Meuer J.D., (2012). Erich Strohmaier, “TOP500 Supercomputer Site,” http://www.top500.org, 2012

Chen Y., Cui X., Mei, H. (2010). “Large-Scale FFT on GPU Clusters”, Proceedings of the 24th ACM International Conference on Supercomputing (ICS ’10), June 2-4, 2010, Tsukuba, Ibaraki, Japan, pp. 315-324.

Tiwari V., Malik S., Wolfe, A. (1996). “Instruction Level Power Analysis and Optimization of Software”, Journal of VLSI Signal Processing Systems 13(1996), pp. 223-238.

Feng Z., Xiao J. and Hu, W. (2007). “Validation of Architecture Level Power Estimation for Godson-1 Microprocessor Design”, Journal of Computer-aided Design & Computer Graphics, Vol 19, No.9. pp. 1190-1195.