标题: 嵌入式图形处理器之绘图程式高阶耗能模型
A Study on High-Level Energy Model of Embedded GPU
作者: 钟宇安
Chung, Yu-An
曹孝栎
资讯科学与工程研究所
关键字: 耗能模型;绘图晶片;嵌入式绘图晶片;embedded GPU;GPU;OpenGL;Power Model
公开日期: 2014
摘要: 嵌入式图型处理器可加速行动装置上的绘图程式之绘图处理,但同时也需消耗可观的耗电[1]。由电池驱动的行动装置之耗电量无疑是非常重要的。为了能预估绘图程式的耗电量,过去研究会去收集GPU硬体元件之计数器的数值来作为耗能模型之参数并预测耗能。但这些参数无法协助绘图工程师来撰写较省电之绘图程式。为了让绘图工程师了解绘图品质与耗能的关系,此篇论文建立了一个只需要绘图参数,不需要硬体计数器即可预测绘图程是耗能的耗能模型,以协助绘图工程师在绘图品质与耗能中取得一个平衡点。此耗能模型的预估值与实际量测的耗能的误差为7.7%。
Embedded graphic processing unit (GPU) accelerates a real-time rendering process of a graphics application on mobile devices, however, at the cost of consuming a considerable portion of the system energy [1] which is one of the most critical design issues for battery-operated devices. To estimate the power consumption of a graphics application, conventional approaches collect run-time hardware activities of a GPU, and derive the power consumption of the graphics application based on hardware counters. Unfortunately, these hardware counters and power consumption information are difficult to evaluate from a programmer's point of view. In order to provide graphics programmers a firm notion of how performance and quality relate to energy cost, a high-level power model to assist programmers to balance performance, quality, and energy budget is proposed in this study. The high-level power model only requires high-level graphics data to estimate the power consumption of a graphics program. The error rate of the model is around 7.7%.
URI: http://140.113.39.130/cdrfb3/record/nctu/#GT070156055
http://hdl.handle.net/11536/76422
显示于类别:Thesis


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