Showing 3 open source projects for "dataflow"

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    autoCode4

    Synthesizing embedded control software from formal specifications

    autoCode4 is an engine that synthesizes controllers from formal specifications described under a subset of linear temporal logic (LTL). Importantly, it synthesizes synchronous dataflow controllers (in Lustre or in Ptolemy II form) and maintains requirement-to-code traceability. Such feature is mandated in developing safety-critical systems and are considered essential for specification validation or integrating manual implementation such as legacy code. The LTL specification captures the desired behavior of a controller where the environment takes the first move (i.e., sense/input then react/output), so the synthesized controller can be viewed as a Mealy machine. ...
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  • 2
    PARUS

    PARUS

    Dataflow parallel programming language for clusters

    PARUS is a data-flow parallel programming language that allows to build parallel programs for clusters and MPP multiprocessors. The data-flow graph is automatically converted to the C++/MPI source and linked with the libparus runtime library. Also there are available tools for benchmarking cluster interconnect and visualize it.
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  • 3
    Ohua is an implementation of the stateful functional programming model along with a dataflow execution engine as a runtime system. Ohua mixes object-oriented (imperative) and functional programming to provide implicit parallelism. The project moved. Please find the most up-to-date version at: https://bitbucket.org/sertel/ohua
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