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In PC to peripheral usage models (such as dial up networking using a cellular phone), the PC may need to download device drivers or other software for that peripheral from a web site. To do this the driver must know the proper identity of the peripheral.
Older Metro-style apps for Windows 8.1, Windows Phone 8.1 or for both (universal 8.1) need modifications to migrate to this platform. [25] [26] Universal apps no longer indicate having been written for a specific OS in their manifest; instead, they target one or more device families, e.g. desktop, mobile, console or Internet of Things (IoT ...
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.
It is a native component of Windows 10 (since version 1809) and Windows 11, where it is a UWP app and consists of a driver that communicates with the Link to Windows [6] app on the mobile device. Phone Link makes use of Wi-Fi , Bluetooth for voice calls, or mobile data .
A personal computer that does not have embedded Bluetooth can use a Bluetooth adapter that enables the PC to communicate with Bluetooth devices. While some desktop computers and most recent laptops come with a built-in Bluetooth radio, others require an external adapter, typically in the form of a small USB " dongle ".
Windows 8.1 was made available for download via MSDN and Technet and available as a free upgrade for retail copies of Windows 8 and Windows RT users via the Windows Store. A server version, Windows Server 2012 R2, was released on October 18, 2013. Windows 8.1 aimed to address complaints of Windows 8 users and reviewers on launch.
A Bluetooth stack is software that is an implementation of the Bluetooth protocol stack.. Bluetooth stacks can be roughly divided into two distinct categories: . General-purpose implementations that are written with emphasis on feature-richness and flexibility, usually for desktop computers.
CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3]