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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.
A graphical interface programming system allowing the visualization of code and
capability to generate threaded code. The user constructs code segments using visual boxes. The program flow is represented as links between the boxes.