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  • 1
    CPSeis is the open-source version of ConocoPhillips' former seismic processing system. Uses Fortran 90 and C/C++ layers for I/O. The new system was designed using an MPI-parallel model and works well on Linux clusters or on individual workstations.
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    JavaSeis
    JavaSeis.org: Java based software for processing and storing petroleum industry seismic data.
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  • 3

    MarDRe

    MapReduce-based tool to remove duplicate DNA reads

    ...This tool allows bioinformatics to avoid the analysis of not necessary reads, reducing the time of subsequent procedures with the dataset. MarDRe is the Big Data counterpart of ParDRe (link above), which employs HPC technologies (i.e., hybrid MPI/multithreading) to reduce runtime on multicore systems. Instead, MarDRe takes advantage of the MapReduce programming model to significantly improve ParDRe performance on distributed systems, especially on cloud-based infrastructures. Written in pure Java to maximize cross-platform compatibility, MarDRe is built upon the open-source Apache Hadoop project, the most popular distributed computing framework for Big Data processing.
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  • 4
    SYSTEM FOR DESIGNING AND SIMULATE CONCURRENT AND DISTRIBUTED PROGRAMS IN CLUSTER ARCHITECTURE Provides graphical interface for configuring relationships between cooperating, abstract processes and simulate it in real cluster environment, using MPI.
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  • 5
    Maui Scheduler is an advanced reservation HPC parallel batch scheduler for use with Linux and BSD clusters. Maui provides a complete scientific scheduling solution, supporting running custom parallel and MPI jobs over Myrinet and ethernet.
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