Dynamic Knobs for Responsive Power-Aware Computing
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Rinard_Dynamic knobs.pdf
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1.26 MB
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Adobe PDF
Checksum (MD5)
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Author(s)
Hoffmann, Henry Christian
Sidiroglou, Stelios
Carbin, Michael James
Misailovic, Sasa
Agarwal, Anant
Date Issued
March 2011
Journal
Proceedings of the sixteenth international conference on Architectural support for programming languages and operating systems (ASPLOS '11 )
Publisher
Association for Computing Machinery (ACM)
Citation
Henry Hoffmann, Stelios Sidiroglou, Michael Carbin, Sasa Misailovic, Anant Agarwal, and Martin Rinard. 2011. Dynamic knobs for responsive power-aware computing. SIGPLAN Not. 46, 3 (March 2011), 199-212.
Version
Author's final manuscript
Abstract
We present PowerDial, a system for dynamically adapting application behavior to execute successfully in the face of load and power fluctuations. PowerDial transforms static configuration parameters into dynamic knobs that the PowerDial control system can manipulate to dynamically trade off the accuracy of the computation in return for reductions in the computational resources that the application requires to produce its results. These reductions translate directly into performance improvements and power savings.
Our experimental results show that PowerDial can enable our benchmark applications to execute responsively in the face of power caps that would otherwise significantly impair responsiveness. They also show that PowerDial can significantly reduce the number of machines required to service intermittent load spikes, enabling reductions in power and capital costs.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
https://doi.org/10.1145/1950365.1950390
