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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 runtimelibrary.
Also there are available tools for benchmarking cluster interconnect and visualize it.
Matlab/Octave to Python conversion facility. The tool will take existing scripts
and convert them to Python. Also includes Python bindings to Octave and
a small runtime support library. Built on top of Numeric Python extensions.
JNDirect is a library that supports JDirect-compatible native methods and method closures. JNIDirect automatically generates (at runtime) JNI native method glue for anything exported from a Mac OS X framework -- functions AND global variables.
The Snake Skin Bean Breaker converts Python syntax into readable Java syntax. With a high potential of runtime or compile-time deviances, the resultant code is assumed to be broken.. Works well for porting Jython Swing prototypes.