Implicit Data-Parallelism in Kahn Process Networks: Bridging the MacQueen Gap

Abstract

Modern embedded systems are rapidly increasing their complexity, both in terms of numbers of cores, as well as heterogeneity. To generate efficient code for these systems, it is common to leverage formal models of computation. Among these, the dataflow model of Kahn Process Networks (KPN) is widespread because it is expressive but guarantees a deterministic… (More)
DOI: 10.1145/3183767.3183790

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