A framework to experiment optimizations for real-time and embedded software

Abstract : Typical constraints on embedded systems include code size limits, upper bounds on energy consumption and hard or soft deadlines. To meet these requirements, it may be necessary to improve the software by applying various kinds of transformations like compiler optimizations, specific mapping of code and data in the available memories, code compression, etc. However, a transformation that aims at improving the software with respect to a given criterion might engender side effects on other criteria and these effects must be carefully analyzed. For this purpose, we have developed a common framework that makes it possible to experiment various code transfor-mations and to evaluate their impact of various criteria. This work has been carried out within the French ANR MORE project.
Type de document :
Communication dans un congrès
International Conference on Embedded Real Time Software and Systems (ERTS2), May 2010, Toulouse, France. 2010
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https://hal.inria.fr/inria-00539973
Contributeur : Olivier Zendra <>
Soumis le : jeudi 25 novembre 2010 - 16:28:37
Dernière modification le : jeudi 11 janvier 2018 - 06:27:10
Document(s) archivé(s) le : samedi 3 décembre 2016 - 02:12:46

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  • HAL Id : inria-00539973, version 1
  • ARXIV : 1011.6031

Citation

Hugues Cassé, Karine Heydemann, Haluk Ozaktas, Jonathan Ponroy, Christine Rochange, et al.. A framework to experiment optimizations for real-time and embedded software. International Conference on Embedded Real Time Software and Systems (ERTS2), May 2010, Toulouse, France. 2010. 〈inria-00539973〉

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