Dynamic Knobs for Responsive Power-Aware Computing
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 accur...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en_US |
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Association for Computing Machinery (ACM)
2012
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| Online Access: | http://hdl.handle.net/1721.1/72445 https://orcid.org/0000-0002-7015-4262 https://orcid.org/0000-0003-0313-9270 |
| _version_ | 1811094628417404928 |
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| author | Hoffmann, Henry Christian Sidiroglou, Stelios Carbin, Michael James Misailovic, Sasa Agarwal, Anant |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Hoffmann, Henry Christian Sidiroglou, Stelios Carbin, Michael James Misailovic, Sasa Agarwal, Anant |
| author_sort | Hoffmann, Henry Christian |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T16:03:03Z |
| format | Article |
| id | mit-1721.1/72445 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T16:03:03Z |
| publishDate | 2012 |
| publisher | Association for Computing Machinery (ACM) |
| record_format | dspace |
| spelling | mit-1721.1/724452022-10-02T05:58:20Z Dynamic Knobs for Responsive Power-Aware Computing Hoffmann, Henry Christian Sidiroglou, Stelios Carbin, Michael James Misailovic, Sasa Agarwal, Anant Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Rinard, Martin C. Hoffmann, Henry Christian Sidiroglou, Stelios Carbin, Michael James Misailovic, Sasa Agarwal, Anant 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. National Science Foundation (U.S.). (Grant Number 0937060) United States. Defense Advanced Research Projects Agency (Grant number FA8750-06-2-0189) 2012-08-29T20:34:21Z 2012-08-29T20:34:21Z 2011-03 Article http://purl.org/eprint/type/ConferencePaper 978-1-4503-0266-1 http://hdl.handle.net/1721.1/72445 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. https://orcid.org/0000-0002-7015-4262 https://orcid.org/0000-0003-0313-9270 en_US http://dx.doi.org/10.1145/1950365.1950390 Proceedings of the sixteenth international conference on Architectural support for programming languages and operating systems (ASPLOS '11 ) Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Association for Computing Machinery (ACM) MIT web domain |
| spellingShingle | Hoffmann, Henry Christian Sidiroglou, Stelios Carbin, Michael James Misailovic, Sasa Agarwal, Anant Dynamic Knobs for Responsive Power-Aware Computing |
| title | Dynamic Knobs for Responsive Power-Aware Computing |
| title_full | Dynamic Knobs for Responsive Power-Aware Computing |
| title_fullStr | Dynamic Knobs for Responsive Power-Aware Computing |
| title_full_unstemmed | Dynamic Knobs for Responsive Power-Aware Computing |
| title_short | Dynamic Knobs for Responsive Power-Aware Computing |
| title_sort | dynamic knobs for responsive power aware computing |
| url | http://hdl.handle.net/1721.1/72445 https://orcid.org/0000-0002-7015-4262 https://orcid.org/0000-0003-0313-9270 |
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