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Embedded manycore architectures offer energyefficient super-computing capabilities but are notoriously difficult to program with traditional parallel Application Programming Interfaces (APIs). To address this challenge, dataflow Models of Computation (MoCs) are increasingly used as their high-level of abstraction eases the automation of computation mapping, memory allocation, and communication management. Reconfigurable dataflow is a class of dataflow MoC that fosters a unique tradeoff betweendoi:10.1145/3183767.3183780 dblp:conf/hipeac/MiomandreHDMDN18 fatcat:sj5437ax2jgcrdkhv6ss4o4dom