Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 정기석 | - |
dc.date.accessioned | 2017-03-14T06:34:53Z | - |
dc.date.available | 2017-03-14T06:34:53Z | - |
dc.date.issued | 2015-07 | - |
dc.identifier.citation | The International Conference on Electronics and Software Science (ICESS2015) , Page. 191-196 | en_US |
dc.identifier.isbn | 978-1-941968-17-8 | - |
dc.identifier.uri | http://sdiwc.net/digital-library/integrated-power-management-for-cpu-and-gpu-based-on-prediction-of-the-influence-of-mutual-dependency-between-processing-units.html | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/26102 | - |
dc.description.abstract | Modern mobile devices are commonly equipped with a system-on-chip (SoC) which commonly integrates a central processing unit (CPU), a graphic processing unit (GPU), and digital signal processors (DSPs). Among them, CPU and GPU consume large amount of power. There have been various researches about power management of CPUs and GPUs. However, most of them studied power management only for the CPU or the GPU by treating them as independent devices despite the fact that there exists mutual dependency between the CPU and the GPU. Therefore, it is necessary to consider the mutual dependency between the CPU and the GPU to effectively manage the states of the CPU and the GPU for low power. In this paper, we propose a method for integrated power management for the CPU and the GPU by predicting the influence of mutual dependency between the processing units. When compared to a conventional independent management scheme, the power consumption is reduced by about 8% while the benchmark score remains almost unchanged. Thus, the proposed scheme increases power efficiency by about 10%. | en_US |
dc.description.sponsorship | This research was supported by the MSIP(Ministry of Science, ICT&Future Planning),Korea, under the ITRC(Information Technology Research Center)support program (IITP-2015-H8501-15-1005)supervised by the IITP(Institute for Information&communications Technology Promotion) | en_US |
dc.language.iso | en | en_US |
dc.publisher | Society of Digital Information and Wireless Communications | en_US |
dc.subject | Power management | en_US |
dc.subject | CPU | en_US |
dc.subject | GPU | en_US |
dc.subject | Prediction | en_US |
dc.subject | Mutual dependency | en_US |
dc.title | Integrated Power Management for CPU and GPU Based on Prediction of the Influence of Mutual Dependency between Processing Units | en_US |
dc.type | Article | en_US |
dc.relation.page | 191-196 | - |
dc.contributor.googleauthor | Hwang, Keun-Ho | - |
dc.contributor.googleauthor | Ahn, Youngho | - |
dc.contributor.googleauthor | Chung, Ki-Seok | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF ELECTRONIC ENGINEERING | - |
dc.identifier.pid | kchung | - |
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