A From a Formalized Parallel Action Language to its Efficient Code Generation

Ivan Llopard 1 Christian Fabre 1 Albert Cohen 2
2 Parkas - Parallélisme de Kahn Synchrone
Inria de Paris, DI-ENS - Département d'informatique de l'École normale supérieure, CNRS - Centre National de la Recherche Scientifique
Abstract : Modeling languages propose convenient abstractions and transformations to handle the complexity of today's embedded systems. Based on the formalism of Hierarchical State Machine, they enable the expression of hierarchical control parallelism. However, they face two importants challenges when it comes to model data-intensive applications: no unified approach that also accounts for data-parallel actions; and no effective code optimization and generation flows. We propose a modeling language extended with parallel action semantics and hierarchical indexed-state machines suitable for computationally intensive applications. Together with its formal semantics, we present an optimizing model compiler aiming for the generation of efficient data-parallel implementations.
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Contributor : Albert Cohen <>
Submitted on : Tuesday, January 3, 2017 - 1:26:19 PM
Last modification on : Monday, February 25, 2019 - 4:34:20 PM
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Ivan Llopard, Christian Fabre, Albert Cohen. A From a Formalized Parallel Action Language to its Efficient Code Generation. ACM Transactions on Embedded Computing Systems (TECS), ACM, 2017, ⟨10.1145/0000000.0000000⟩. ⟨hal-01425140⟩



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