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Efficient parallelization of large-scale hard real-time applications

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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Submitted on : Friday, June 8, 2018 - 1:03:05 PM
Last modification on : Friday, January 21, 2022 - 3:18:40 AM
Long-term archiving on: : Sunday, September 9, 2018 - 8:28:41 PM


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  • HAL Id : hal-01810176, version 2



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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