Power and Performance Characterization of Computational Kernels on the GPU

Now-a-days Graphic Processing Units (GPU) are gaining increasing popularity in High Performance Computing (HPC). While modern GPUs can offer much more computational power than CPUs, they also consume much more power. Energy efficiency is one of the most important factors that will affect a broader adoption of GPUs in HPC. In this paper, the authors systematically characterize the power and energy efficiency of GPU computing. Specifically, using three different applications with various degrees of compute and memory intensiveness, they investigate the correlation between power consumption and different computational patterns under various voltage and frequency levels. Their study revealed that energy saving mechanisms on GPUs behave considerably different than CPUs.

Provided by: Argonne National Laboratory Topic: Data Centers Date Added: Jan 2011 Format: PDF

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