DocumentCode
1919945
Title
Poster: Statistical Power and Energy Modeling of Multi-GPU Kernels
Author
Ghosh, Sudip ; Chandrasekaran, S. ; Chapman, Barbara M.
Author_Institution
Comput. Sci. Dept., Univ. of Houston, Houston, TX, USA
fYear
2012
fDate
10-16 Nov. 2012
Firstpage
1516
Lastpage
1516
Abstract
To improve the energy efficiency of parallel applications on GPGPUs, a better understanding of the energy behavior of various applications is mandatory. In this study we employ statistical methods to model power and energy consumption of some common optimized high performance kernels (DGEMM, FFT, PRNG and FD stencils) on a multi-GPU platform.
Keywords
energy conservation; graphics processing units; power aware computing; statistical analysis; GPGPU; energy consumption; energy efficiency; energy modeling; multiGPU kernels; optimized high performance kernels; parallel applications; statistical methods; statistical power; GPGPU; Power; Statistical Modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Computing, Networking, Storage and Analysis (SCC), 2012 SC Companion:
Conference_Location
Salt Lake City, UT
Print_ISBN
978-1-4673-6218-4
Type
conf
DOI
10.1109/SC.Companion.2012.298
Filename
6496081
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