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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] CuPy shares the same API set as NumPy and SciPy, allowing it to be a drop-in replacement to run NumPy/SciPy code on GPU.
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.
Common Language Runtime, Common Type System, Global Assembly Cache, Microsoft Intermediate Language, Windows Forms; ADO.NET, ASP.NET; Windows Communication Foundation (WCF) Windows Presentation Foundation (WPF) Windows Workflow Foundation (WF) Windows CardSpace (WCS) Universal Windows Platform (UWP) Windows PowerShell; Microsoft Management ...
COMDLG32.DLL, the Common Dialog Box Library, implements a wide variety of Windows dialog boxes intended to perform what Microsoft deems 'common application tasks'. Starting with the release of Windows Vista, Microsoft considers the "Open" and "Save as" dialog boxes provided by this library as deprecated and replaced by the 'Common Item Dialog API'.
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 ...
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.
[5] [6] It is free and open-source software released under the Apache License 2.0. It was developed by the Google Brain team for Google's internal use in research and production. [7] [8] [9] The initial version was released under the Apache License 2.0 in 2015. [1] [10] Google released an updated version, TensorFlow 2.0, in September 2019. [11]
In 1995, Borland C++ 4.5 with OWL 2.5 was released. As it was released before Windows 95, Borland promised a free upgrade for any incompatibility present in the final Windows version. In August 1995, Microsoft launched Windows 95 and Visual Studio 4.0. By then, Visual Studio had already eclipsed Borland C++ in shipments, and it was clear that ...