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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.
Jather aims to provide an easy to use library for clustered process execution in Java. This library aims to provide a simple API and allow applications to add clustering functionality with little change to the existing code.
A light weigth high performance cluster server to link several Java machines into one logical unit. Medusa does not compete with J2EE servers but allows clustering of standard Java code for fail-over, redundancy and processing power.
Jtrix is a technology to allow code to be mobile, adaptive, distributed and scalable. Please see http://www.jtrix.org for much more documentation and info.
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