Showing 4 open source projects for "clisp 64 bit"

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    kgcalc

    kgcalc

    Desktop Calculator for Linux using Kulina Graphics

    ...May be its extra feature is its editable view of the calculating expression and ability to recover previous calculations. Kulina Graphics Library uses GraphicsMagick for its image processing and depends on GaphickMagick and its dependencies. 'kgcalc' binary is 64 bit and linked statically with kulina graphics library and its dependencies.
    Downloads: 1 This Week
    Last Update:
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  • 2
    kgclock

    kgclock

    Desktop Analog Clock for Linux and notification system

    ...A tarball for binary and another source tarball are provided. Also provided is a .deb package which can be installed using 'dpkg -i <package>'. The binary tarball should work for any 64 bit Linux distribution. If one prefers to build from source one need to install Kulina Graphics also. One specialty of 'kgclock' its low cpu usage, after one minute it is negligible.
    Downloads: 3 This Week
    Last Update:
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  • 3
    Simd

    Simd

    High performance image processing library in C++

    ...In particular the library supports following CPU extensions: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2 and AVX-512 for x86/x64, VMX(Altivec) and VSX(Power7) for PowerPC, NEON for ARM. The Simd Library has C API and also contains useful C++ classes and functions to facilitate access to C API. The library supports dynamic and static linking, 32-bit and 64-bit Windows, Android and Linux, MSVS, G++ and Clang compilers, MSVS project and CMake build systems.
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    Downloads: 17 This Week
    Last Update:
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  • 4

    AlgART Java Libraries

    Open source library for processing arrays and matrices

    AlgART Java libraries for processing arrays and matrices are open-source product, distributed under MIT license. So, anyone can use them for free without any restrictions. Main features: 63-bit addressing of array elements (64-bit long int indexes), memory model concept (allowing storing data in different schemes from RAM to mapped disk files), wide usage of lazy evaluations, built-in multithreading optimization for multi-core processors, wide set of image processing algorithms over matrices, etc. - please see at the site. ...
    Downloads: 0 This Week
    Last Update:
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