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  2. MinGW - Wikipedia

    en.wikipedia.org/wiki/MinGW

    MinGW ("Minimalist GNU for Windows"), formerly mingw32, is a free and open source software development environment to create Microsoft Windows applications.. MinGW includes a port of the GNU Compiler Collection (GCC), GNU Binutils for Windows (assembler, linker, archive manager), a set of freely distributable Windows specific header files and static import libraries which enable the use of the ...

  3. Mingw-w64 - Wikipedia

    en.wikipedia.org/wiki/Mingw-w64

    Mingw-w64 is a free and open-source suite of development tools that generate Portable Executable (PE) binaries for Microsoft Windows. It was forked in 2005–2010 from MinGW ( Minimalist GNU for Windows ).

  4. TDM-GCC - Wikipedia

    en.wikipedia.org/wiki/TDM-GCC

    It combines the most recent stable release of the GCC toolset, a few patches for Windows-friendliness, and the free and open-source MinGW runtime APIs to create an open-source alternative to Microsoft's compiler and platform SDK. It is able to build 32-bit or 64-bit binaries, for any version of Windows since Windows 98.

  5. Strawberry Perl - Wikipedia

    en.wikipedia.org/wiki/Strawberry_Perl

    Strawberry Perl is a distribution of the Perl programming language for the Microsoft Windows platform. Additionally, strawberry contains a fully featured Mingw-w64 C/C++ compiler with many libraries included. While most other distributions rely on the user having software development tools already set up to install certain Perl components ...

  6. Issues with the Windows 11 update? Frustrated users blame AI.

    www.aol.com/news/issues-windows-11-frustrated...

    Microsoft's mission to infuse all of its products with AI might be getting accomplished at the expense of basic functionality. In late February, Microsoft announced a Windows 11 update that would ...

  7. MLIR (software) - Wikipedia

    en.wikipedia.org/wiki/MLIR_(software)

    MLIR (Multi-Level Intermediate Representation) is a unifying software framework for compiler development. [1] MLIR can make optimal use of a variety of computing platforms such as central processing units (CPUs), graphics processing units (GPUs), data processing units (DPUs), Tensor Processing Units (TPUs), field-programmable gate arrays (FPGAs), artificial intelligence (AI) application ...

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