<P><B>Abstract</B></P> <P>With increases of display resolution and graphical quality demands, global illumination techniques are sought after to meet such demands. However, global illumination algorithms have a long proc...
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https://www.riss.kr/link?id=A107512794
2018
-
DVFS ; Path tracing ; Global illumination ; OpenCL ; GPGPU ; Mobile device
SCOPUS,SCIE
학술저널
198-205(8쪽)
0
상세조회0
다운로드다국어 초록 (Multilingual Abstract)
<P><B>Abstract</B></P> <P>With increases of display resolution and graphical quality demands, global illumination techniques are sought after to meet such demands. However, global illumination algorithms have a long proc...
<P><B>Abstract</B></P> <P>With increases of display resolution and graphical quality demands, global illumination techniques are sought after to meet such demands. However, global illumination algorithms have a long processing time on mobile devices, such as smartphones or tablet PCs. Besides the performance issue, the algorithms consume a large amount of battery-powered energy. The performance and energy consumption have a trade-off relationship. The dynamic voltage and frequency scaling (DVFS) algorithms control the balance between the performance and the energy consumption by adjusting the GPU and CPU’s frequencies. To improve the performance of the global illumination algorithm and reduce the high energy consumption of the current DVFS algorithm, we suggest new algorithms with new metrics for estimating the amount of workload for GPUs as well as their memory workload. Using our new DVFS algorithms, we increase the energy efficiency, the performance per watt, of a global illumination algorithm by 33.59% in comparison to a conventional general-purpose DVFS algorithm, without modifying the underlying algorithm core.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A novel mathematical model for a GPU’s workload of global illumination is proposed. </LI> <LI> The new model for the GPU and memory workloads are proposed. </LI> <LI> The new metrics for the GPU and memory workloads are proposed. </LI> <LI> Novel DVFS algorithms for controlling GPU and memory are proposed. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
As-rigid-as-possible solid simulation with oriented particles