Dynamic Voltage Scaling Techniques for Power Efficient Video [PDF]

However, video decoding is a computa tionally intensive, power ravenous process. In addition, due to different frame typ

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Cleveland State University

EngagedScholarship@CSU Electrical Engineering & Computer Science Faculty Publications

Electrical Engineering & Computer Science Department

10-2005

Dynamic Voltage Scaling Techniques for Power Efficient Video Decoding Ben Lee Oregon State University, [email protected]

Eriko Nurvitadhi Carnegie Mellon University, [email protected]

Reshma Dixit Oregon State University, [email protected]

Chansu Yu and additional works at: https://engagedscholarship.csuohio.edu/enece_facpub Follow this Cleveland State University, [email protected]

Part of the Computer and Systems Architecture Commons, and the Electrical and Computer Myungchul EngineeringKim Commons Information and Communications University, [email protected] How does access to this work benefit you? Let us know!

Publisher's Statement NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Systems Architecture. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Systems Architecture, 51, 10-11, (10-01-2005); 10.1016/j.sysarc.2005.01.002 Original Citation Lee, B., Nurvitadhi, E., Dixit, R., Yu, C., , & Kim, M. (2005). Dynamic voltage scaling techniques for power efficient video decoding. Journal of Systems Architecture, 51(10-11), 633-652. doi:10.1016/j.sysarc.2005.01.002

Repository Citation Lee, Ben; Nurvitadhi, Eriko; Dixit, Reshma; Yu, Chansu; and Kim, Myungchul, "Dynamic Voltage Scaling Techniques for Power Efficient Video Decoding" (2005). Electrical Engineering & Computer Science Faculty Publications. 66. https://engagedscholarship.csuohio.edu/enece_facpub/66 This Article is brought to you for free and open access by the Electrical Engineering & Computer Science Department at EngagedScholarship@CSU. It has been accepted for inclusion in Electrical Engineering & Computer Science Faculty Publications by an authorized administrator of EngagedScholarship@CSU. For more information, please contact [email protected].

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