Architecture agnostic energy model for GPU-based design

Arthur Marmin,Chun-Hung Lai, Haruyuki Tago,Hsun-Lun Huang,Juin-Ming Lu

2016 International Symposium on VLSI Design, Automation and Test (VLSI-DAT)(2016)

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摘要
Since 3D graphic applications have reached mobile devices and known a tremendous expansion, graphic processors' power consumption has become a major challenge in mobile SoC design. We propose a high-level hardware agnostic model endorsed by GPU energy consumption measurements under specific 3D graphic applications running. The modeling method comprises of two phases where the first phase is GPU hardware dependent, whereas the second phase takes graphics API trace information only per a target application. Our model shows an average relative error as small as -5.43% in a run-time of 2 seconds for the well-known benchmark glmark2.
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关键词
GPU-based design,architecture agnostic energy model,3D graphic applications,mobile devices,graphic processor power consumption,mobile SoC design,high-level hardware agnostic model,GPU energy consumption measurements,GPU hardware dependent phase,graphic API trace information,average relative error,glmark2 benchmark
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