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- W2894072380 abstract "Dataflow Models of Computation (MoCs) have proven efficient means for modeling computational aspects of Cyber-Physical System (CPS). Over the years, diverse MoCs have been proposed that offer trade-offs between expressivity, conciseness, predictability, and reconfigurability. While being efficient for modeling coarse grain data and task parallelism, state-of-the-art dataflow MoCs suffer from a lack of semantics to benefit from the lower grained parallelism offered by hierarchically modeled nested loops." @default.
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- W2894072380 date "2018-07-15" @default.
- W2894072380 modified "2023-10-10" @default.
- W2894072380 title "Delays and states in dataflow models of computation" @default.
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- W2894072380 doi "https://doi.org/10.1145/3229631.3229645" @default.
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