2 research outputs found

    Journées Francophones des Langages Applicatifs 2018

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    National audienceLes 29èmes journées francophones des langages applicatifs (JFLA) se déroulent en 2018 à l'observatoire océanographique de Banyuls-sur-Mer. Les JFLA réunissent chaque année, dans un cadre convivial, concepteurs, développeurs et utilisateurs des langages fonctionnels, des assistants de preuve et des outils de vérification de programmes en présentant des travaux variés, allant des aspects les plus théoriques aux applications industrielles.Cette année, nous avons sélectionné 9 articles de recherche et 8 articles courts. Les thématiques sont variées : preuve formelle, vérification de programmes, modèle mémoire, langages de programmation, mais aussi théorie de l'homotopieet blockchain

    ReactiveML, ten years later

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    International audienceTen years ago we introduced ReactiveML, an extension of a strict ML language with synchronous parallelismĂ parallelism`parallelismĂ  la Esterel to program reactive applications. Our purpose was to demonstrate that synchronous language principles, originally invented and used for critical real-time control software, would integrate well with ML and prove useful in a wider context: reactive applications with complex data structures and sequential algorithms, organized as a dynamically evolving set of tightly synchronized parallel tasks. While all ReactiveML programs presented at PPDP'05 still compile, the language has evolved continuously to incorporate novel programming constructs, compilation techniques and dedicated static analyses. ReactiveML has been used for applications that we never anticipated: the simulation of large-scale ad-hoc and sensor networks, an interactive debugger, and interactive mixed music. These applications were only possible due to the efficient compilation of ReactiveML into sequential code, which we present here for the first time. We also present a parallel implementation that uses work-stealing techniques through shared memory. Finally, we give a retrospective view on ReactiveML over the past ten years
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