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Reports (Research Report) Year : 2018

Efficient parallelization of large-scale hard real-time applications

Parallelisation efficace de larges applications temps-reel

Abstract

We present a parallel compilation method for embedded control applications. The method is fully automatic and scales up, being based on low-complexity heuristics. Unlike classical compilation, it also takes as input non-functional requirements, e.g. real-time or resource limits. The main objective is not optimization per se, but the respect of requirements. To this end, static resource allocation and code generation algorithms perform a safe accounting of non-functional properties. Accounting starts from per-component time and memory footprint worst-case bounds, automatically obtained through calls to state-of-the-art static analysis tools. Experiments show that our method produces efficient code for large-scale, real-life avionics applications.
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Dates and versions

hal-01810176 , version 1 (07-06-2018)
hal-01810176 , version 2 (08-06-2018)

Identifiers

  • HAL Id : hal-01810176 , version 2

Cite

Keryan Didier, Dumitru Potop-Butucaru, Guillaume Iooss, Albert Cohen, Jean Souyris, et al.. Efficient parallelization of large-scale hard real-time applications. [Research Report] RR-9180, INRIA Paris. 2018. ⟨hal-01810176v2⟩
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