Simulator for optimizing performance and power of embedded multicore processors
This work presents improvements to a multi-core performance/power simulator. The improvements which include updated power models, voltage scaling aware models, and an application specific benchmark, are done to increase the accuracy of power models under voltage and frequency scaling. Improvements t...
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ndltd-ORGSU-oai-ir.library.oregonstate.edu-1957-290692012-07-03T14:37:13ZSimulator for optimizing performance and power of embedded multicore processorsGoska, Benjamin J.Low power digitalSIMDMulticoreDigital simulationPower modelingMultiprocessors -- Energy consumption -- Computer simulationMedical electronics -- Energy consumption -- Computer simulationBiosensors -- Energy consumption -- Computer simulationWearable computers -- Energy consumption -- Computer simulationLow voltage systems -- Computer simulationEmbedded computer systems -- Energy consumption -- Computer simulationThis work presents improvements to a multi-core performance/power simulator. The improvements which include updated power models, voltage scaling aware models, and an application specific benchmark, are done to increase the accuracy of power models under voltage and frequency scaling. Improvements to the simulator enable more accurate design space exploration for a biomedical application. The work flow used to modify the simulator is also presented so similar modifications could be used on future simulators.Graduation date: 2012Chiang, Patrick2012-05-08T20:05:02Z2012-05-08T20:05:02Z2012-04-262012-04-26Thesis/Dissertationhttp://hdl.handle.net/1957/29069en_US |
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NDLTD |
language |
en_US |
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NDLTD |
topic |
Low power digital SIMD Multicore Digital simulation Power modeling Multiprocessors -- Energy consumption -- Computer simulation Medical electronics -- Energy consumption -- Computer simulation Biosensors -- Energy consumption -- Computer simulation Wearable computers -- Energy consumption -- Computer simulation Low voltage systems -- Computer simulation Embedded computer systems -- Energy consumption -- Computer simulation |
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Low power digital SIMD Multicore Digital simulation Power modeling Multiprocessors -- Energy consumption -- Computer simulation Medical electronics -- Energy consumption -- Computer simulation Biosensors -- Energy consumption -- Computer simulation Wearable computers -- Energy consumption -- Computer simulation Low voltage systems -- Computer simulation Embedded computer systems -- Energy consumption -- Computer simulation Goska, Benjamin J. Simulator for optimizing performance and power of embedded multicore processors |
description |
This work presents improvements to a multi-core performance/power simulator. The improvements which include updated power models, voltage scaling aware models, and an application specific benchmark, are done to increase the accuracy of power models under voltage and frequency scaling. Improvements to the simulator enable more accurate design space exploration for a biomedical application. The work flow used to modify the simulator is also presented so similar modifications could be used on future simulators. === Graduation date: 2012 |
author2 |
Chiang, Patrick |
author_facet |
Chiang, Patrick Goska, Benjamin J. |
author |
Goska, Benjamin J. |
author_sort |
Goska, Benjamin J. |
title |
Simulator for optimizing performance and power of embedded multicore processors |
title_short |
Simulator for optimizing performance and power of embedded multicore processors |
title_full |
Simulator for optimizing performance and power of embedded multicore processors |
title_fullStr |
Simulator for optimizing performance and power of embedded multicore processors |
title_full_unstemmed |
Simulator for optimizing performance and power of embedded multicore processors |
title_sort |
simulator for optimizing performance and power of embedded multicore processors |
publishDate |
2012 |
url |
http://hdl.handle.net/1957/29069 |
work_keys_str_mv |
AT goskabenjaminj simulatorforoptimizingperformanceandpowerofembeddedmulticoreprocessors |
_version_ |
1716392349261627392 |