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Talks and Poster Presentations (with Proceedings-Entry):

M. Ibrahim, M. Rupp, H. Fahmy:
"Code Transformations and SIMD Impact on Embedded Software Energy/Power Consumption";
Talk: International conference on computer engineering and systems (ICCES), Cairo, Egypt; 12-14-2009 - 12-16-2009; in: "Proceedings of International conference on computer engineering and systems (ICCES'09)", (2009), ISBN: 978-1-4244-5842-4; 6 pages.



English abstract:
The increasing demand for portable computing has
elevated power consumption to be one of the most critical
embedded systems design parameters. In this paper, we present
a qualitative study wherein we examine the impact of code
transformations on the energy and power consumption. Three
main categories of code transformations are investigated, namely
data, loop and procedural oriented transformations. Moreover,
we evaluate the influence of employing Single Instruction Multiple
Data (SIMD) on energy and power dissipation via the
utilization of compiler intrinsic C-functions. Results show that
a trade-off between power and performance can be achieved
by employing the intrinsic C-functions in conjunction with
some transformations

German abstract:
The increasing demand for portable computing has
elevated power consumption to be one of the most critical
embedded systems design parameters. In this paper, we present
a qualitative study wherein we examine the impact of code
transformations on the energy and power consumption. Three
main categories of code transformations are investigated, namely
data, loop and procedural oriented transformations. Moreover,
we evaluate the influence of employing Single Instruction Multiple
Data (SIMD) on energy and power dissipation via the
utilization of compiler intrinsic C-functions. Results show that
a trade-off between power and performance can be achieved
by employing the intrinsic C-functions in conjunction with
some transformations

Keywords:
SIMD , code transformation , compiler intrinsic C-function , embedded software energy , energy consumption , power consumption , single instruction multiple data


"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/ICCES.2009.5383317

Electronic version of the publication:
http://publik.tuwien.ac.at/files/PubDat_178703.pdf



Related Projects:
Project Head Markus Rupp:
Embedded Computer Vision


Created from the Publication Database of the Vienna University of Technology.