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  2. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA (Compute Unified Device Architecture) 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.

  3. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [37] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community. [38] [39] [40] [41]

  4. Exception handling (programming) - Wikipedia

    en.wikipedia.org/wiki/Exception_handling...

    Microsoft's 32-bit Structured Exception Handling (SEH) uses this approach with a separate exception stack. [20] Dynamic registration, being fairly straightforward to define, is amenable to proof of correctness. [21] The second scheme, and the one implemented in many production-quality C++ compilers and 64-bit Microsoft SEH, is a table-driven ...

  5. Julia (programming language) - Wikipedia

    en.wikipedia.org/wiki/Julia_(programming_language)

    Julia's Visual Studio Code extension provides a fully-featured integrated development environment with "built-in dynamic autocompletion, inline results, plot pane, integrated REPL, variable view, code navigation, and many other advanced language features" [27] e.g. debugging is possible, linting, and profiling. [28] [29] [30] [31]

  6. Bash (Unix shell) - Wikipedia

    en.wikipedia.org/wiki/Bash_(Unix_shell)

    The license was GPL-1.0-or-later. "In addition to supporting backward-compatibility for scripting, Bash has incorporated features from the Korn and C shells. You'll find command history, command-line editing, a directory stack (pushd and popd), many useful environment variables, command completion, and more."

  7. OpenCL - Wikipedia

    en.wikipedia.org/wiki/OpenCL

    OpenCL (Open Computing Language) is a framework for writing programs that execute across heterogeneous platforms consisting of central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), field-programmable gate arrays (FPGAs) and other processors or hardware accelerators.

  8. GNOME - Wikipedia

    en.wikipedia.org/wiki/GNOME

    GNOME (/ɡəˈnoʊm/, /ˈnoʊm/) [6] [7] [8] originally an acronym for GNU Network Object Model Environment, [9] is a free and open-source desktop environment for Linux and other Unix-like [10] operating systems.

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