Showing 4 open source projects for "android studio performance"

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  • 1
    VR Paged List GXS for C++ and more ...

    VR Paged List GXS for C++ and more ...

    Paged Lists & Iterators GXS for C++ Sources by Vincent Radio {Adrix.NT

    Vincent Radio {Adrix.NT} presents Paged Lists & Iterators GXS for C++ Sources by Vincent Radio {Adrix.NT} also contains - Little Docs about Paged Lists (docx, pdf) - VR Basic Common Utils Sources (Array List ...) - VR Generic Multi Dim Array Class - VR Generic MDArray List Mgr Class - VR Generic Adjacency (List | Matrix) Direct Graph Classes - VR List Interface with STL Support with some nice implementations (ArrayList, Paged-LIst) - Env Var Notes for sources for C++...
    Downloads: 0 This Week
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  • 2
    Simd

    Simd

    High performance image processing library in C++

    ...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: 16 This Week
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  • 3

    MatlabSimulink2CPP

    Demo of Simulink to C++ C or HDL FGA for HFT potential

    Video and files download for Visual trading idea to C++ or FPGA HFT Meetup File download sample: test model (Matlab 2014b with Visual Studio 2013 C++ project generated) Powerpoint MATLAB SIMULINK http://quantlabs.net/blog/2015/04/video-and-files-download-for-visual-trading-idea-to-c-or-fpga-hft-meetup/
    Downloads: 0 This Week
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  • 4

    FFT for ARMv6

    Fixed point 16/32 integer FFT library for the Raspberry Pi and Android

    This library is being created as I have a need to do very fast FFTs on low end devices not supporting the NEON instruction set. The Raspberry Pi is an ideal candidate for developing in gcc before porting to JNI for low spec Android devices, hence it's inclusion. Fixed point 16/32 integer FFT library suitable for the Raspberry Pi and Android devices. Includes test stubs for gcc on the Raspberry Pi and a Basic4Android wrapper from JNI. It includes hand optimised ARMv6 assembler, demonstrating techniques such as pipeline stuffing to achieve maximum performance. ...
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