[Zurück]

M. Ibrahim, M. Rupp, H. Fahmy:
"Code Transformations and SIMD Impact on Embedded Software Energy/Power Consumption";
Vortrag: International conference on computer engineering and systems (ICCES), Cairo, Egypt; 14.12.2009 - 16.12.2009; in: "Proceedings of International conference on computer engineering and systems (ICCES'09)", (2009), ISBN: 978-1-4244-5842-4; 6 S.

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

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

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

http://dx.doi.org/10.1109/ICCES.2009.5383317

http://publik.tuwien.ac.at/files/PubDat_178703.pdf

Projektleitung Markus Rupp:
Embedded Computer Vision