Showing 5 open source projects for "tune"

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    Context for your AI agents

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  • 1

    DJGPP cross-compiler with POSIX threads

    Linux to DJGPP cross-compiler with pthread library and std::thread.

    ...COLLECT_GCC=i586-pc-msdosdjgpp-gcc COLLECT_LTO_WRAPPER=/usr/local/libexec/gcc/i586-pc-msdosdjgpp/15.1.0/lto-wrapper Target: i586-pc-msdosdjgpp Configured with: ../configure --target=i586-pc-msdosdjgpp --prefix=/usr/local --enable-languages=c,c++,objc,obj-c++,fortran --with-tune=pentium --with-pkgversion='DJGPP 2.05' --enable-libquadmath-support --enable-libstdcxx-filesystem-ts --enable-lto --disable-libstdcxx-pch Thread model: posix Supported LTO compression algorithms: zlib zstd gcc version 15.1.0 (DJGPP 2.05)
    Downloads: 1 This Week
    Last Update:
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  • 2
    SObjectizer

    SObjectizer

    It's all about in-process message dispatching!

    ...SObjectizer allows the creation of a concurrent app as a set of agent-objects which interact with each other through asynchronous messages. It handles message dispatching and provides a working context for message processing. And allows to tune those things by supplying various ready-to-use dispatchers.
    Downloads: 0 This Week
    Last Update:
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  • 3
    AntTweakBar

    AntTweakBar

    C/C++ library to add light and intuitive GUI to OpenGL and DX programs

    ...Examples of integration with GLFW, SDL, GLUT, SFML and DirectX are provided. The AntTweakBar library mainly targets graphical applications that need a quick way to tune parameters (even in fullscreen mode) and see the result in real-time like 3D demos, games, prototypes, inline editors, debug facilities of weightier graphical applications, etc. The project is not maintained anymore but feel free to download and modify the source code to fit your needs or fix issues.
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    Downloads: 17 This Week
    Last Update:
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  • 4

    bemap

    BEnchMarks for Automatic Parallelizer

    ...Each tuning step executional time are measured in details with a comprehensive user interface and help option. The exact implementation in native code (C++) is also provided in each project folder for reference. By using these benchmarks, one may analyze: 1. How to tune/optimize the auto-parallelizer's compiler 2. Whether the appropriate optimization procedure is provided within the compiler This project is partially funded by the Department of the New Energy and Industrial Technology Development Organization (NEDO).
    Downloads: 0 This Week
    Last Update:
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    Say goodbye to broken revenue funnels and poor customer experiences

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  • 5
    AvatarSAT is a SAT solver that uses machine-learning classifiers to automatically tune the heuristics of an off-the-shelf SAT solver on a per-instance basis.
    Downloads: 0 This Week
    Last Update:
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