Energy-aware cache assessment of HEVC decoding

Monteiro, Eduarda; Grellert, Mateus; Bampi, Sérgio

doi:10.1109/iscas.2016.7527305

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…Using complexity profiling tools, such as Valgrind [35] or PAPI [36], metrics such as the number of central processing unit (CPU) instructions and the memory access can be obtained. These tools are additionally used for energy or power estimation [11], [37], [38]. Finally, power meters can be exploited.…”

Section: Power Measurement Setupmentioning

confidence: 99%

Power Modeling for Video Streaming Applications on Mobile Devices

et al. 2020

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In this paper, we derive an accurate power model for video streaming which we condense to the essential components contributing the most to the overall power consumption. As a use case, we choose mobile devices on the receiver side performing video streaming in broadcasting or end-to-end scenarios. In modeling, we consider the complete video streaming toolchain, which mainly consists of data acquisition, video processing, display, and audio handling. We compose an overall power model with the help of models from the literature and propose a dedicated feature selection approach to reveal the most important factors related to power consumption. The resulting models achieve mean estimation errors below 7.61%. Results from feature selection indicate that the display brightness, the bitrate, and the frame rate have the highest impact on the power consumption.

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Section: Power Measurement Setupmentioning

confidence: 99%

Power Modeling for Video Streaming Applications on Mobile Devices

et al. 2020

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“…Monteiro et al [59] presents analysis of energy consumption of software HEVC decoder, specifically to estimate the energy consumption in all levels of cache hierarchies. X. Li et al [60] proposes an analytical power consumption model for H.264/AVC video decoding using hardware accelerator on popular mobile platforms and the model is expressed as the product of the power functions of video spatial resolution (i.e., frame size) and temporal resolution.…”

Section: Decoder-specific Schemesmentioning

confidence: 99%

Control algorithms for energy optimization in multimedia hand-held devices

Tang¹

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The microelectronics industry has been boosting the capabilities of multimedia mobile devices, but the battery, which is the only power source of most mobile devices, is experiencing relatively slow development. Therefore, determining how to optimize the energy consumption of mobile devices under a predefined performance requirement has become a critical issue. Besides, according to a recent report, tablet and smartphone video consumption grew 35% in the year 2014 and has grown 170% since 2013. Actually, mobile video playback has experienced a significant growth of 2084% from 2011 to 2015. As some of the most energy-consuming tasks, First, I would like to thank my supervisors, Dr. Ángel M. Groba and Eduardo Juárez, for their valuable feedback and support throughout this work. Their support, diligence, and commitment to high-quality research have contributed significantly to this thesis. I am also grateful to all the professors and lab mates in GDEM-CITSEM: César Sanz, Matías J. Garrido, Fernando Pescador and Pedro J. Lobo, for their efforts in providing and creating such a friendly and helpful working environment in the lab. Thanks also to my colleagues: Rong Ren, Jianguo Wei, Henry O. Cruz and Miguel Chavarrías. I have learned a lot from each of them; our friendships have made my time at GDEM an enjoyable and unique experience. Thanks to Paula and Enrique, I have benefited a lot through the cooperation and the exchange of ideas with them. Finally, I would like to acknowledge and appreciate the financial support from China Scholarship Council (CSC) and GDEM. Besides, I would like to express my love and appreciation to my parents. Thanks for them to bring me up and support good quality of education for me. During these years, I met difficulties and setbacks that taught me to grow and hone my character. I benefit from the doctoral stage of study, and no matter where I work in the future, I will keep a serious and focused researcher, and strive to do everything for the community to contribute to their own strength. I would like to thank all my friends: Rong Ren,

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Energy-aware cache assessment of HEVC decoding

Cited by 2 publications

References 9 publications

Power Modeling for Video Streaming Applications on Mobile Devices

Power Modeling for Video Streaming Applications on Mobile Devices

Control algorithms for energy optimization in multimedia hand-held devices

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