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Macros and subroutines for writing parallel programs in both C and Fortran. Manual, papers, and source code.
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Automatic parallel execution of sequential applications on SMP computers. Identifies all parallelism by static and dynamic scheduling. No parallelizing directives are required. Uses Dataflow.
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Papers about research into a parallel plug-in interface and distributed peer-to-peer control builds on the concept of the Distributed Virtual Machine.
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To produce a computing environment that will provide an alternative to MatLab, Octave, RLab, and the others (maybe even C/Fortran + MPI). The environment will have to consist of a good language, visualization capabilities, and an effective computing engine. TONS will automatically parallelize code. This will make it possible to write software _once_ and run on any cluster configuration without new tuning or rewriting of the code
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A visual programming and performance analysis environment. Papers and manual.
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