Power Efficiency for Software Algorithms running on Graphics Processors
(2012) Fourth ACM SIGGRAPH / Eurographics conference on High-Performance Graphics p.67-75- Abstract
- Abstract in Undetermined
Power efficiency has become the most important consideration for many modern computing devices. In this paper, we examine power efficiency of a range of graphics algorithms on different GPUs. To measure power consumption, we have built a power measuring device that samples currents at a high frequency. Comparing power efficiency of different graphics algorithms is done by measuring power and performance of three different primary rendering algorithms and three different shadow algorithms. We measure these algorithms’ power signatures on a mobile phone, on an integrated CPU and graphics processor, and on high-end discrete GPUs, and then compare power efficiency across both algorithms and GPUs. Our results show... (More) - Abstract in Undetermined
Power efficiency has become the most important consideration for many modern computing devices. In this paper, we examine power efficiency of a range of graphics algorithms on different GPUs. To measure power consumption, we have built a power measuring device that samples currents at a high frequency. Comparing power efficiency of different graphics algorithms is done by measuring power and performance of three different primary rendering algorithms and three different shadow algorithms. We measure these algorithms’ power signatures on a mobile phone, on an integrated CPU and graphics processor, and on high-end discrete GPUs, and then compare power efficiency across both algorithms and GPUs. Our results show that power efficiency is not always proportional to rendering performance and that, for some algorithms, power efficiency varies across different platforms. We also show that for some algorithms, energy efficiency is similar on all platforms. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2797861
- author
- Johnsson, Björn M LU ; Ganestam, Per LU ; Doggett, Michael LU and Akenine-Möller, Tomas LU
- organization
- publishing date
- 2012
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Computer graphics, power efficiency, rasterization, graphics hardware
- host publication
- EGGH-HPG'12 Proceedings of the Fourth ACM SIGGRAPH / Eurographics conference on High-Performance Graphics
- pages
- 67 - 75
- publisher
- Eurographics - European Association for Computer Graphics
- conference name
- Fourth ACM SIGGRAPH / Eurographics conference on High-Performance Graphics
- conference location
- Paris, France
- conference dates
- 2012-06-25 - 2012-06-28
- external identifiers
-
- scopus:84880814923
- ISBN
- 978-3-905674-41-5
- DOI
- 10.2312/EGGH/HPG12/067-075
- language
- English
- LU publication?
- yes
- id
- c7e5bb73-2160-47a9-8c7b-2f61f5ed5a60 (old id 2797861)
- date added to LUP
- 2016-04-04 10:14:07
- date last changed
- 2022-05-01 19:35:15
@inproceedings{c7e5bb73-2160-47a9-8c7b-2f61f5ed5a60, abstract = {{Abstract in Undetermined<br/>Power efficiency has become the most important consideration for many modern computing devices. In this paper, we examine power efficiency of a range of graphics algorithms on different GPUs. To measure power consumption, we have built a power measuring device that samples currents at a high frequency. Comparing power efficiency of different graphics algorithms is done by measuring power and performance of three different primary rendering algorithms and three different shadow algorithms. We measure these algorithms’ power signatures on a mobile phone, on an integrated CPU and graphics processor, and on high-end discrete GPUs, and then compare power efficiency across both algorithms and GPUs. Our results show that power efficiency is not always proportional to rendering performance and that, for some algorithms, power efficiency varies across different platforms. We also show that for some algorithms, energy efficiency is similar on all platforms.}}, author = {{Johnsson, Björn M and Ganestam, Per and Doggett, Michael and Akenine-Möller, Tomas}}, booktitle = {{EGGH-HPG'12 Proceedings of the Fourth ACM SIGGRAPH / Eurographics conference on High-Performance Graphics}}, isbn = {{978-3-905674-41-5}}, keywords = {{Computer graphics; power efficiency; rasterization; graphics hardware}}, language = {{eng}}, pages = {{67--75}}, publisher = {{Eurographics - European Association for Computer Graphics}}, title = {{Power Efficiency for Software Algorithms running on Graphics Processors}}, url = {{https://lup.lub.lu.se/search/files/5492848/2797866.pdf}}, doi = {{10.2312/EGGH/HPG12/067-075}}, year = {{2012}}, }