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GCDS: A Compiler Strategy for Trading Code Size Against Performance in Embedded Applications

François Bodin 1 Zbigniew Chamski 1 Christine Eisenbeis 2 Erven Rohou 1 André Seznec 1
1 CAPS - Compilation, parallel architectures and system
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
2 A3 - Advanced analysis to code optimization
UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France
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.
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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


  • HAL Id : inria-00073343, version 1


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⟩



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