Title :
Power and performance of GPU-accelerated systems: A closer look
Author :
Abe, Y. ; Sasaki, Hiromu ; Kato, Shigeo ; Inoue, Ken ; Edahiro, Masato ; Peres, Martin
Author_Institution :
Kyushu Univ., Fukuoka, Japan
Abstract :
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.
Keywords :
graphics processing units; performance evaluation; power aware computing; GPU architecture; GPU-accelerated systems; NVIDIA GPU; dynamic frequency scaling algorithm; dynamic voltage scaling algorithm; power efficiency characteristics; power management; Benchmark testing; Computer architecture; Graphics processing units; Open source software;
Conference_Titel :
Workload Characterization (IISWC), 2013 IEEE International Symposium on
Conference_Location :
Portland, OR
Print_ISBN :
978-1-4799-0553-9
DOI :
10.1109/IISWC.2013.6704675