In this paper, we have presented a characterization of power and performance for GPU-accelerated systems. We selected four different NVIDIA GPUs from three generations of the GPU architecture in order to demonstrate generality of our contribution. One of our findings is that the power efficiency characteristics differ such that the best configuration is not identical between the GPUs. This evidence encourages future work on the management of power and performance for GPU-accelerated systems to benefit from dynamic voltage and frequency scaling. In future work, we plan to develop a dynamic voltage and frequency scaling algorithm for GPU-accelerated systems.
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