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HIGH PERFORMANCE COMPUTING POWER APPLICATION PROGRAMMING INTERFACE (API)
SPECIFICATION

Achieving practical exascale supercomputing will require massive increases in
energy efficiency. The bulk of this improvement will likely be derived from
hardware advances such as improved semiconductor device technologies and tighter
integration, hopefully resulting in more energy efficient computer
architectures. Still, software will have an important role to play. With every
generation of new hardware, more power measurement and control capabilities are
exposed. Many of these features require software involvement to maximize feature
benefits. This trend will allow algorithm designers to add power and energy
efficiency to their optimization criteria. Similarly, at the system level,
opportunities now exist for energy-aware scheduling to meet external utility
constraints such as time of day cost charging and power ramp rate limitations.
Finally, future architectures might not be able to operate all components at
full capability for a range of reasons including temperature considerations or
power delivery limitations. Software will need to make appropriate choices about
how to allocate the available power budget given many, sometimes conflicting
considerations.

For these reasons, we have developed a portable API for power measurement and
control. This Power API provides multiple levels of abstractions to satisfy the
requirements of multiple types of users. The latest specification document is
available at the PowerAPI Community website (https://pwrapi.github.io/). We
welcome feedback and collaboration with anyone that is interested. Please
contact James Laros (jhlaros@sandia.gov) regarding feedback, collaborations or
any questions regarding this effort.

An overview of the API and its reference implementation was published in IEEE
Computer magazine in October 2016 entitled Standardizing Power Monitoring and
Control at Exascale.

If you are planning to modify or use the Power API in a published scientific
paper or technical report, please use the following citation for the Power API:
R. E. Grant, M. Levenhagen, S. L. Olivier, D. DeBonis, K. T. Pedretti and J. H.
Laros III, “Standardizing Power Monitoring and Control at Exascale,” in
Computer, vol. 49, no. 10, pp. 38-46, Oct. 2016. doi: 10.1109/MC.2016.308 BibTeX

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Acknowledgment
Support for this work was provided through the Advanced Simulation and Computing
(ASC) program funded by U.S. Department of Energy’s National Nuclear Security
Agency.