Showing 8 open source projects for "linux-kernel-webassembly"

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  • 1
    GXSM

    GXSM

    Scanning Probe Microscopy Controller and Data Visualization Software

    ...Based on several hardware options it supports a commercially available DSP hardware and provided also Open Source Code for all the low level signal processing tasks and instrument controls in a most flexible and adaptable manner. All latest software is available via SVN only or Live Demo/Install CD: http://www.ventiotec.de/linux/GXSM-Linux.iso
    Downloads: 2 This Week
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  • 2
    RubyMoss is a Web - Based Framework written with Ruby on Rails, intended to support all analysis and data processing for Mossbauer Spectroscopy. Written under BSD License.
    Downloads: 0 This Week
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  • 3
    Magneticle is a 3D OpenGL physical simulation that applies the Biot-Savart law to charged particles operating inside a magnetic field produced by a current-carrying wire modeled as an arbitrary space curve.
    Downloads: 0 This Week
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  • 4
    Matho is a OS Independant Application and API for mathematical operations, features include curve sketching, calculus, iterative formulae, algebra solver, 2d/3d geometry and mechanical and statistical functionality.
    Downloads: 0 This Week
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  • 5
    This library is meant for high performance calculations for science or 3D games/rasterizers using SIMD instructions of x86 processors to allow an unparalleled level of optimization. This takes advantage of MMX, 3DNow!, 3DNow!+/MMX+, & SSE/SSE2/SSE3/SSSE3
    Downloads: 0 This Week
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  • 6
    MEDDAC is the seeding point for designing a new approach to Operating System design itself. It is an Open Source project with roots in mainframe design and development the author began in 1979. Monitor Editor Disassembler Decompiler Assembler Compiler
    Downloads: 0 This Week
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  • 7
    mCode is designed to be a dynamic 3d platform for simulation and visualization, with a focus on visual networking.
    Downloads: 1 This Week
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  • 8
    Improving the speed of the signal analysis code for Seti@home. Leveraging modern processors advanced features such as SIMD and parallel execution units, as well as identifying better methods to code existing functions.
    Downloads: 0 This Week
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