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Power Efficiency for Software Algorithms running on Graphics Processors

Johnsson, Björn M LU ; Ganestam, Per LU ; Doggett, Michael LU and Akenine-Möller, Tomas LU (2012) Fourth ACM SIGGRAPH / Eurographics conference on High-Performance Graphics In EGGH-HPG'12 Proceedings of the Fourth ACM SIGGRAPH / Eurographics conference on High-Performance Graphics p.67-75
Abstract (Swedish)
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... (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:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Computer graphics, power efficiency, rasterization, graphics hardware
in
EGGH-HPG'12 Proceedings of the Fourth ACM SIGGRAPH / Eurographics conference on High-Performance Graphics
pages
67 - 75
publisher
Eurographics Association
conference name
Fourth ACM SIGGRAPH / Eurographics conference on High-Performance Graphics
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
2012-06-27 09:53:05
date last changed
2017-09-17 08:49:57
@inproceedings{c7e5bb73-2160-47a9-8c7b-2f61f5ed5a60,
  abstract     = {<b>Abstract in Undetermined</b><br/><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},
  keyword      = {Computer graphics,power efficiency,rasterization,graphics hardware},
  language     = {eng},
  pages        = {67--75},
  publisher    = {Eurographics Association},
  title        = {Power Efficiency for Software Algorithms running on Graphics Processors},
  url          = {http://dx.doi.org/10.2312/EGGH/HPG12/067-075},
  year         = {2012},
}