Analysis of GPU Power Consumption Using Internal Sensors | Zendy

Mariza Ferro | Zendy; André Yokoyama | Zendy; Vinícius Klôh | Zendy; Gabrieli Silva | Zendy; Rodrigo Gandra | Zendy; Ricardo Bragança | Zendy; André Bulcão | Zendy; Bruno Schulze | Zendy

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Analysis of GPU Power Consumption Using Internal Sensors

Author(s) -

Mariza Ferro,

André Yokoyama,

Vinícius Klôh,

Gabrieli Silva,

Rodrigo Gandra,

Ricardo Bragança,

André Bulcão,

Bruno Schulze

Publication year - 2017

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5753/wperformance.2017.3360

Subject(s) - benchmark (surveying) , computer science , power consumption , general purpose computing on graphics processing units , power (physics) , symmetric multiprocessor system , supercomputer , central processing unit , position (finance) , parallel computing , high resolution , cuda , computational science , graphics , computer hardware , computer graphics (images) , physics , geodesy , quantum mechanics , geography , remote sensing , finance , geology , economics

GPUs has been widely used in scientific computing, as by offering exceptional performance as by power-efficient hardware. Its position established in high-performance and scientific computing communities has increased the urgency of understanding the power cost of GPU usage in accurate measurements. For this, the use of internal sensors are extremely important. In this work, we employ the GPU sensors to obtain high-resolution power profiles of real and benchmark applications. We wrote our own tools to query the sensors of two NVIDIA GPUs from different generations and compare the accuracy of them. Also, we compare the power profile of GPU with CPU using IPMItool.

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