Showing 58 open source projects for "high performance computing"

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  • 1
    cca-forum
    Cca-forum unifies the Common Component Architecture tools and tutorial. It includes the CCA specifications, the Ccaffeine framework for HPC, and related tools. These support multilanguage scientific and parallel computing.
    Downloads: 0 This Week
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  • 2
    QuickFlash is a C++-based analysis library for data files generated by the Flash hydrodynamics code. It provides high-performance access to large datasets in low memory situations and other restrictive environments.
    Downloads: 0 This Week
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  • 3
    *Project home now moved to Google Code.* Numerical computing and plotting tools for IronPython.
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  • 4
    C::NTR::L
    HCI for audiovisual live performance exploiting physical computing. Transform your standard musical instrument - electric bass, guitar, violin, piano etc - in an augmented tool, an audiovideo controller without exploiting any specific ext. hardware.
    Downloads: 0 This Week
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  • 5
    Hubble in a Bottle!
    A high performance visualization tool for stars and particles able to run on Beowulfs. Rendering step is implemented separately and optimized for SSE, compatible with OpenGL. Navigation mechanism with quaternions. Ten color maps, sobel contour detect
    Downloads: 0 This Week
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  • 6
    Dolphin is a light scientific computing visualization platform with high portability.We provide the most common functions in the visualization application and easy plug-in development by Dolphin’s plug-in mechanism. Dolphin is under GPL licence!
    Downloads: 1 This Week
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  • 7
    PyVisi is the Python visualisation interface: a generic Python-based interface to many different scientific visualisation packages. PyVisi is intended for use in both standard and high-performance computing environments, and with the escript package.
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  • 8
    pySPACE

    pySPACE

    Signal Processing and Classification Environment in Python using YAML

    pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due...
    Downloads: 0 This Week
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