Abstract : In this paper we present GDS, a new approach for code optimization within the context of embedded systems. GDS applies several transformation sequences on each piece of code and chooses a posteriori the best trade-off between code size and performance, given the particular constraints. The proposed implementation relies on a modular framework that makes easy to handle differentcompilation strategies on the same piece of code.
https://hal.inria.fr/inria-00073343 Contributor : Rapport de Recherche InriaConnect in order to contact the contributor Submitted on : Wednesday, May 24, 2006 - 12:35:12 PM Last modification on : Wednesday, February 2, 2022 - 3:53:42 PM Long-term archiving on: : Sunday, April 4, 2010 - 11:43:10 PM
François Bodin, Zbigniew Chamski, Christine Eisenbeis, Erven Rohou, André Seznec. GCDS: A Compiler Strategy for Trading Code Size Against Performance in Embedded Applications. [Research Report] RR-3346, INRIA. 1998. ⟨inria-00073343⟩