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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 number of benchmarks that can be run on different OS and JDK versions to effectively score that environment. This project builds on top of the Javatech Commons project.
A opensource program to collect statistics and accounting information from MQ and store it into a database, which will be displayed to the end user in a visually attractive to manner to better analyze the performance of their environment.
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Openmark will be a Open Source benchmark that will have 32/64 bit options for video rendering tests on X11 as well as HD speed, FSB, etc benchmarks. Also many tools like: temp monitor, speed control, etc.