View : 932 Download: 0
Energy-efficient global illumination algorithms for mobile devices using dynamic voltage and frequency scaling
- Title
- Energy-efficient global illumination algorithms for mobile devices using dynamic voltage and frequency scaling
- Authors
- Kim, SeongKi; Harada, Takahiro; Kim, Young J.
- Ewha Authors
- 김영준
- SCOPUS Author ID
- 김영준
- Issue Date
- 2018
- Journal Title
- COMPUTERS & GRAPHICS-UK
- ISSN
- 0097-8493
1873-7684
- Citation
- COMPUTERS & GRAPHICS-UK vol. 70, pp. 198 - 205
- Keywords
- DVFS; Path tracing; Global illumination; OpenCL; GPGPU; Mobile device
- Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
- Indexed
- SCIE; SCOPUS
- Document Type
- Article
Proceedings Paper
- Abstract
- 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. (C) 2017 Elsevier Ltd. All rights reserved.
- DOI
- 10.1016/j.cag.2017.07.017
- Appears in Collections:
- 인공지능대학 > 컴퓨터공학과 > Journal papers
- Files in This Item:
There are no files associated with this item.
- Export
- RIS (EndNote)
- XLS (Excel)
- XML