Fine-Grain Iterative Compilation for WCET Estimation - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2018

Fine-Grain Iterative Compilation for WCET Estimation

Abstract

Compiler optimizations, although reducing the execution times of programs, raise issues in static WCET estimation techniques and tools. Flow facts, such as loop bounds, may not be automatically found by static WCET analysis tools after aggressive code optimizations. In this paper, we explore the use of iterative compilation (WCET-directed program optimization to explore the optimization space), with the objective to (i) allow flow facts to be automatically found and (ii) select optimizations that result in the lowest WCET estimates. We also explore to which extent code outlining helps, by allowing the selection of different optimization options for different code snippets of the application.
Fichier principal
Vignette du fichier
WCET_2018.pdf (538.36 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01889944 , version 1 (08-10-2018)

Identifiers

Cite

Isabelle Puaut, Mickaël Dardaillon, Christoph Cullmann, Gernot Gebhard, Steven Derrien. Fine-Grain Iterative Compilation for WCET Estimation. WCET 2018 - 18th International Workshop on Worst-Case Execution Time Analysis, Jul 2018, Barcelona, Spain. pp.1-12, ⟨10.4230/OASIcs.WCET.2018.9⟩. ⟨hal-01889944⟩
177 View
172 Download

Altmetric

Share

Gmail Facebook X LinkedIn More