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Compositionality in Synchronous Data Flow: Modular Code Generation from Hierarchical SDF Graphs

机译：同步数据流中的组合性：来自分层sDF图的模块化代码生成

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Hierarchical SDF models are not compositional: a composite SDF actor cannot be represented as an atomic SDF actor without loss of information that can lead to deadlocks. Motivated by the need for incremental and modular code generation from hierarchical SDF models, we introduce in this paper DSSF profiles. This model forms a compositional abstraction of composite actors that can be used for modular compilation. We provide algorithms for automatic synthesis of non-monolithic DSSF profiles of composite actors given DSSF profiles of their sub-actors. We show how different tradeoffs can be explored when synthesizing such profiles, in terms of modularity (keeping the size of the generated DSSF profile small) versus reusability (preserving information necessary to avoid deadlocks) as well as algorithmic complexity. We show that our method guarantees maximal reusability and report on a prototype implementation.

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