We propose an implicitly parallel language for the coordination of sequential processes and present a translation scheme to dataflow process networks. Our language is well-suited for programming embedded systems and allows to benefit from the computational power offered by modern multi-core processors. Moreover, it facilitates the reuse of legacy code and can deal with side effects that may arise between functions written in the guest language by taking into account dependencies due to shared resources.
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