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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.
Semys consists of a library for group communication and an architecture to build a sequential consistent system. A sequential consistent process can run on several physical hosts and is not disturbed by the downtime (crash) of a host.
Scalable Cluster Environment (SCE) is a set of interoperable opensource tools that enable users to build and use Beowulf cluster effectively to solve their problems.