A Dynamic Power Capping Library for HPC Applications

Sharma, Sahil; Lan, Zhiling; Wu, Xingfu; Taylor, Valerie

doi:10.1109/cluster48925.2021.00073

Cited by 2 publications

(1 citation statement)

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“…Focusing on dynamic power capping with no uncore frequency scaling, DNPC is the closest to our work [25]. It is a library which dynamically adapts power capping to the application and uses a user-defined performance degradation limit.…”

Section: H Conclusionmentioning

confidence: 99%

Combining Uncore Frequency and Dynamic Power Capping to Improve Power Savings

Guermouche

2022

2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)

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The US Department of Energy sets a limit of 20 to 30 MW for future exascale machines. In order to control their power consumption, modern processors provide many features. Power capping and uncore frequency scaling are examples of such features which allow to limit the power consumed by a processor.In this paper, we propose to combine dynamic power capping to uncore frequency scaling. We propose DUFP, an extension of DUF, an existing tool which dynamically adapts uncore frequency. DUFP dynamically adapts the processor power cap to the application needs. Finally, just like DUF, DUFP can tolerate performance loss up to a user-defined limit. With a controlled impact on performance, DUFP is able to provide power savings with no energy loss.The evaluation of DUFP shows that it manages to stay within the user-defined slowdown limits for most of the studied applications. Moreover, combining uncore frequency scaling to power capping: (i) improves power consumption by up to 13.98 % with additional energy savings for applications where uncore frequency scaling has a limited impact, (ii) improves power consumption by up to 7.90 % compared to using uncore frequency scaling by itself and (iii) leads to more than 5 % power savings at 5 % tolerated slowdown with no energy loss for most applications.

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Section: H Conclusionmentioning

confidence: 99%