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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 small client/server/node application written in java for distributed computing, or clustering. you write your programs to use this system, you create an object with a meathod to run and send it to the server that assign it a node.