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
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;
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
DOI :
10.1109/SC.Companion.2012.298
