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December 2022) (Learn how and when to remove this message) Synaptic , an example of a package manager A package manager or package-management system is a collection of software tools that automates the process of installing, upgrading, configuring, and removing computer programs for a computer in a consistent manner.
pip has a feature to manage full lists of packages and corresponding version numbers, possible through a "requirements" file. [14] This permits the efficient re-creation of an entire group of packages in a separate environment (e.g. another computer) or virtual environment .
Another distinction is the retrieval of packages from remote repositories. APT uses a location configuration file (/etc/apt/sources.list) to locate the desired packages, which might be available on the network or a removable storage medium, for example, and retrieve them, and also obtain information about available (but not installed) packages.
In computing, CUDA is a proprietary [1] 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.
CUDA code runs on both the central processing unit (CPU) and graphics processing unit (GPU). NVCC separates these two parts and sends host code (the part of code which will be run on the CPU) to a C compiler like GNU Compiler Collection (GCC) or Intel C++ Compiler (ICC) or Microsoft Visual C++ Compiler, and sends the device code (the part which will run on the GPU) to the GPU.
More shoppers came to Costco stores in the three months ending Nov. 24, just days ahead of Black Friday. The company saw sales up 7.5% over last year.
President-elect Trump's adviser on government efficiency, Elon Musk, called for eliminating the Consumer Financial Protection Bureau.
Support for OpenCL and CUDA is also not being implemented currently, although planned for future releases. [44] [45] Microsoft stated WSL was designed for the development of applications, and not for desktop computers or production servers, recommending the use of virtual machines , Kubernetes, and Azure for those purposes. [7]