Power-Aware Computing with Dynamic Knobs
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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2010
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| Online Access: | http://hdl.handle.net/1721.1/54799 |
| _version_ | 1811093312877101056 |
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| author | Misailovic, Sasa Agarwal, Anant Carbin, Michael Sidiroglou, Stelios Hoffmann, Henry Rinard, Martin |
| author2 | Martin Rinard |
| author_facet | Martin Rinard Misailovic, Sasa Agarwal, Anant Carbin, Michael Sidiroglou, Stelios Hoffmann, Henry Rinard, Martin |
| author_sort | Misailovic, Sasa |
| 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 into power savings. Our experimental results show that PowerDial can enable our benchmark applications to execute responsively in the face of power caps (imposed, for example, in response to cooling system failures) that would otherwise significantly impair the delivered performance. They also show that PowerDial can reduce the number of machines required to meet peak load, in our experiments enabling up to a 75% reduction in direct power and capital costs. |
| first_indexed | 2024-09-23T15:43:16Z |
| id | mit-1721.1/54799 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T15:43:16Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | mit-1721.1/547992019-04-10T22:42:37Z Power-Aware Computing with Dynamic Knobs Misailovic, Sasa Agarwal, Anant Carbin, Michael Sidiroglou, Stelios Hoffmann, Henry Rinard, Martin Martin Rinard Program Analysis Autonomic Computing Dynamic Analysis Runtime control 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 accuracy of the computation in return for reductions in the computational resources that the application requires to produce its results. These reductions translate into power savings. Our experimental results show that PowerDial can enable our benchmark applications to execute responsively in the face of power caps (imposed, for example, in response to cooling system failures) that would otherwise significantly impair the delivered performance. They also show that PowerDial can reduce the number of machines required to meet peak load, in our experiments enabling up to a 75% reduction in direct power and capital costs. 2010-05-14T22:00:04Z 2010-05-14T22:00:04Z 2010-05-14 http://hdl.handle.net/1721.1/54799 MIT-CSAIL-TR-2010-027 Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported http://creativecommons.org/licenses/by-nc-nd/3.0/ 16 p. application/pdf |
| spellingShingle | Autonomic Computing Dynamic Analysis Runtime control Power Aware computing Misailovic, Sasa Agarwal, Anant Carbin, Michael Sidiroglou, Stelios Hoffmann, Henry Rinard, Martin Power-Aware Computing with Dynamic Knobs |
| title | Power-Aware Computing with Dynamic Knobs |
| title_full | Power-Aware Computing with Dynamic Knobs |
| title_fullStr | Power-Aware Computing with Dynamic Knobs |
| title_full_unstemmed | Power-Aware Computing with Dynamic Knobs |
| title_short | Power-Aware Computing with Dynamic Knobs |
| title_sort | power aware computing with dynamic knobs |
| topic | Autonomic Computing Dynamic Analysis Runtime control Power Aware computing |
| url | http://hdl.handle.net/1721.1/54799 |
| work_keys_str_mv | AT misailovicsasa powerawarecomputingwithdynamicknobs AT agarwalanant powerawarecomputingwithdynamicknobs AT carbinmichael powerawarecomputingwithdynamicknobs AT sidirogloustelios powerawarecomputingwithdynamicknobs AT hoffmannhenry powerawarecomputingwithdynamicknobs AT rinardmartin powerawarecomputingwithdynamicknobs |