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  2. CuPy - Wikipedia

    en.wikipedia.org/wiki/CuPy

    CuPy is a part of the NumPy ecosystem array libraries [7] and is widely adopted to utilize GPU with Python, [8] especially in high-performance computing environments such as Summit, [9] Perlmutter, [10] EULER, [11] and ABCI. [12] CuPy is a NumFOCUS sponsored project. [13]

  3. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA is a proprietary [2] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.

  4. Installation (computer programs) - Wikipedia

    en.wikipedia.org/wiki/Installation_(computer...

    Installation (or setup) of a computer program (including device drivers and plugins), is the act of making the program ready for execution. Installation refers to the particular configuration of software or hardware with a view to making it usable with the computer. A soft or digital copy of the piece of software (program) is needed to install it.

  5. Code as data - Wikipedia

    en.wikipedia.org/wiki/Code_as_data

    In computer science, the expression code as data refers to the idea that source code written in a programming language can be manipulated as data, such as a sequence of characters or an abstract syntax tree (AST), and it has an execution semantics only in the context of a given compiler or interpreter. [1]

  6. Remote Installation Services - Wikipedia

    en.wikipedia.org/wiki/Remote_Installation_Services

    Once the OS Chooser environment has been booted, the user must authenticate against the Domain Controller, and can then select a Windows image to install. The source files for each image can be customized with 3rd party utilities such as nLite to slipstream updates and service packs, apply tweaks, perform unattended installations, and include ...