标题:Cooperative DVFS for energy-efficient HEVC decoding on embedded CPU-GPU architecture
作者:Gong, Fan; Ju, Lei; Zhang, Deshan; Zhao, Mengying; Jia, Zhiping
通讯作者:Ju, Lei
作者机构:[Gong, Fan; Ju, Lei; Zhao, Mengying; Jia, Zhiping] Shandong Univ, Sch Comp Sci & Technol, Jinan, Shandong, Peoples R China.; [Zhang, Deshan] Inspur 更多
会议名称:54th ACM/EDAC/IEEE Design Automation Conference (DAC)
会议日期:JUN 18-22, 2017
来源:PROCEEDINGS OF THE 2017 54TH ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC)
出版年:2017
卷:Part 128280
DOI:10.1145/3061639.3062216
关键词:DVFS; HEVC; power management; heterogeneous computing
摘要:The next generation video coding standard High Efficiency Video Coding (HEVC) provides better compression rate for high resolution videos, at the cost of substantially higher computational complexity. While some latest off-the-shelf consumer electronics support HEVC via ASIC solutions, software implementation of real-time HEVC remains an open challenge for resource-constraint embedded systems. In this work, we present an HEVC decoder design on a low-power embedded heterogeneous multiprocessor System-on-Chip (HMPSoC) with CPU and GPU. Our analysis shows that the massive parallel architecture of GPU leads to a relatively smooth fluctuation on the processing time between video frames. Moreover, the dynamic workload of each frame has a monotonic correlation with a particular coding parameter that can be obtained at decoding time. Based on these observations, we propose an application-specific userspace CPU-GPU DVFS scheme which effectively saves the energy consumption for HEVC decoding. Furthermore, given our accurate workload prediction, only a small frame buffer is required to ensure real-time video decoding.
收录类别:CPCI-S;EI;SCOPUS
Scopus被引频次:1
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85023597447&doi=10.1145%2f3061639.3062216&partnerID=40&md5=327140dff99cedcc327081f3b88558cc
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