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Computational Science→Resources: Software Links

Software Links for Computational Science*
  • Boost
    Boost provides free peer-reviewed portable C++ source libraries. Boost works on almost any modern operating system, including UNIX and Windows variants. Use of high-quality libraries like Boost speeds initial development, results in fewer bugs, reduces reinvention-of-the-wheel, and cuts long-term maintenance costs. And since Boost libraries tend to become de facto or de jure standards, many programmers are already familiar with them.

  • ANSYS High Performance Computing
    With the ANSYS HPC software suite, you can use today’s multicore computers to perform more simulations in less time.These simulations can be bigger, more complex and more accurate than ever using HPC. The various ANSYS HPC licensing options let you scale to whatever computational level of simulation you require, from single-user or small user group options for entry-level parallel processing up to virtually unlimited parallel capacity.

    OpenHPC is a collaborative, community effort that initiated from a desire to aggregate a number of common ingredients required to deploy and manage High Performance Computing (HPC) Linux clusters including provisioning tools, resource management, I/O clients, development tools, and a variety of scientific libraries. Packages provided by OpenHPC have been pre-built with HPC integration in mind with a goal to provide re-usable building blocks for the HPC community.

  • ParaView
    ParaView is an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques. The data exploration can be done interactively in 3D or programmatically using ParaView’s batch processing capabilities.ParaView was developed to analyze extremely large datasets using distributed memory computing resources. It can be run on supercomputers to analyze datasets of petascale size as well as on laptops for smaller data, has become an integral tool in many national laboratories, universities and industry, and has won several awards related to high performance computation.

  • Axiom, The Scientific Computation System
    Axiom is a general purpose Computer Algebra system. It is useful for research and development of mathematical algorithms. It defines a strongly typed, mathematically correct type hierarchy. It has a programming language and a built-in compiler.


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