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dc.contributor.authorHuang, Chen-Weien_US
dc.contributor.authorChung, Yu-Anen_US
dc.contributor.authorHuang, Pei-Shuen_US
dc.contributor.authorTsao, Shiao-Lien_US
dc.date.accessioned2017-04-21T06:49:33Z-
dc.date.available2017-04-21T06:49:33Z-
dc.date.issued2015en_US
dc.identifier.isbn978-1-4799-8058-1en_US
dc.identifier.urihttp://hdl.handle.net/11536/136315-
dc.description.abstractEmbedded graphic processing unit (GPU) is an indispensable component in enabling real-time rendering and graphic applications on mobile devices. However, embedded GPU consumes a considerable energy [1] which is critical for battery-operated devices. To understand the energy consumption of a graphic application, conventional approaches suggested the energy model based on hardware performance counters. However, those low-level energy models are mainly derived from GPUs of desktop computers, and they cannot be applied to embedded GPUs directly and the low-level models are less intuitive from a programmer\'s point of view. In this study, we consider a high-level energy consumption model for embedded graphic processors, and then we can estimate energy consumption of a graphic application based on graphic attributes of a scene. We conduct a number of experiments on real platforms to validate the proposed model. Our experimental results demonstrate that an average energy estimation error rate of 7.30% can be achieved.en_US
dc.language.isoen_USen_US
dc.subjectEmbedded GPUen_US
dc.subjectGraphic Applicationsen_US
dc.subjectPower Consumptionen_US
dc.subjectEnergy modelen_US
dc.subjectMobile Devicesen_US
dc.titleHigh-Level Energy Consumption Model of Embedded Graphic Processorsen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2015 IEEE INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP)en_US
dc.citation.spage105en_US
dc.citation.epage109en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000380506600021en_US
dc.citation.woscount1en_US
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