Showing 6 open source projects for "cloud computing software"

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  • 1
    [OFFICIAL] tinyfiledialogs C C++ v3.21.3

    [OFFICIAL] tinyfiledialogs C C++ v3.21.3

    inputbox password WIN OSX GTK QT Console VCPKG C# Lua R Fortran Pascal

    one C/C++ file & header ==> 8 functions: - beep - tray notify popup - message & question - input & password - save file - open file(s) - select folder - color picker complements OpenGL Vulkan GLFW GLUT GLUI VTK SFML TGUI SDL Ogre Unity3d ION OpenCV CeGui MathGL GLM CPW GLOW Open3D ImGui MyGui GLT NGL STB Nuklear Fenster MicroUi & head-less programs NO INIT NO MAIN LOOP NO LINKING NO INCLUDE win (XP to 11) ASCII MBCS UTF-8 UTF-16 (wchar_t) - native dialogs osx/unix...
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    Downloads: 95 This Week
    Last Update:
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  • 2

    alio

    An "Alternative IO" layer.

    The alio library can be dynamically pre-linked to existing executables and replaces file IO (i.e. calls to glibc's IO functions). This allows to gather statistics about IO, create IO trace files, or even implement a different IO behaviour (e.g. use separate IO servers to handle IO).
    Downloads: 0 This Week
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  • 3
    IRPF90
    WARNING: Project moved to http://github.com/scemama/irpf90 IRPF90 is a Fortran90 preprocessor written in Python for programming using the Implicit Reference to Parameters (IRP) method. It simplifies the development of large fortran codes in the field of scientific high performance computing.
    Downloads: 0 This Week
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  • 4
    FLENS (Flexible Library for Efficient Numerical Solutions) is a C++ library for scientific computing. It can be considered as a very convenient and --- at the same time --- extremely efficient interface for BLAS and LAPACK. But it is much more than this
    Downloads: 1 This Week
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  • 5
    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: 5 This Week
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  • 6
    The STAR-MPI (Self-tuned adaptive routines for MPI collective routines) project is an on-going research and development effort to apply the adaptive software approach to develop efficient MPI collective routines across platforms and applications.
    Downloads: 0 This Week
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