Poster: Statistical Power and Energy Modeling of Multi-GPU Kernels
Sayan Ghosh, Sunita Chandrasekaran, Barbara Chapman · 2012
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.