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An AI accelerator, deep learning processor or neural processing unit (NPU) is a class of specialized hardware accelerator [1] or computer system [2] [3] designed to accelerate artificial intelligence (AI) and machine learning applications, including artificial neural networks and computer vision.
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.
PyTorch is a machine learning library based on the Torch library, [4] [5] [6] used for applications such as computer vision and natural language processing, [7] originally developed by Meta AI and now part of the Linux Foundation umbrella.
On x86-64 and Itanium platforms there is just one possible hal.dll for each CPU architecture. On Windows 8 and later, the x86 version also only has one HAL. HAL is merged (or statically linked) into ntoskrnl.exe [2] starting with version 2004 of Windows 10, and the dll only serves as a stub for backwards compatibility.
In addition, four environments are provided containing native compilers, build tools and libraries that can be directly used to build native Windows 32-bit or 64-bit programs. The final programs built with the two native environments don't use any kind of emulation and can run or be distributed like native Windows programs.
Many 16-bit Windows legacy programs can run without changes on newer 32-bit editions of Windows. The reason designers made this possible was to allow software developers time to remedy their software during the industry transition from Windows 3.1 to Windows 95 and later, without restricting the ability for the operating system to be upgraded to a current version before all programs used by a ...
Mac OS X 10.7 "Lion" ran with a 64-bit kernel on more Macs, and OS X 10.8 "Mountain Lion" and later macOS releases only have a 64-bit kernel. On systems with 64-bit processors, both the 32- and 64-bit macOS kernels can run 32-bit user-mode code, and all versions of macOS up to macOS Mojave (10.14) include 32-bit versions of libraries that 32 ...
Fluent Design System (codenamed "Project Neon"), [11] officially unveiled as Microsoft Fluent Design System, [12] is a design language developed in 2017 by Microsoft.Fluent Design is a revamp of Microsoft Design Language 2 (sometimes erroneously known as "Metro", the codename of Microsoft Design Language 1) that includes guidelines for the designs and interactions used within software designed ...