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CUDA provides both a low level API (CUDA Driver API, non single-source) and a higher level API (CUDA Runtime API, single-source). The initial CUDA SDK was made public on 15 February 2007, for Microsoft Windows and Linux. Mac OS X support was later added in version 2.0, [18] which supersedes the beta released February 14, 2008. [19]
A current version can be downloaded from the Internet, and some Linux distributions contain it in their repositories. The 4 October 2013 beta Nvidia GeForce driver 331.13 supports the EGL interface, enabling support for Wayland in conjunction with this driver. [33] [34] Nvidia's free and open-source driver is named nv. [35]
Model – The marketing name for the processor, assigned by Nvidia. Launch – Date of release for the processor. Code name – The internal engineering codename for the processor (typically designated by an NVXY name and later GXY where X is the series number and Y is the schedule of the project for that generation).
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.
NVIDIA Graphics with Kepler architecture with OS X 10.11 to macOS 11 operating system; NVIDIA Graphics with Maxwell architecture or Pascal architecture with OS X 10.11 to macOS 10.13 operating system; The second version of Metal supports the following hardware and software: Apple A7 SoC or later with iOS 11 or later; Apple M1 SoC or later with ...
However, this list did not include Metal compatible cards that currently work in macOS High Sierra using Nvidia-developed web drivers. In September, Nvidia responded, "Apple fully controls drivers for macOS. But if Apple allows, our engineers are ready and eager to help Apple deliver great drivers for macOS 10.14 (Mojave)."
The Nvidia CUDA Compiler (NVCC) translates code written in CUDA, a C++-like language, into PTX instructions (an assembly language), and the graphics driver contains a compiler which translates PTX instructions into executable binary code, [2] which can run on the processing cores of Nvidia graphics processing units (GPUs).
Several free and open-source graphics device drivers, which have been, or are being written based on information gained through clean-room reverse engineering, adopted the driver model provided by Gallium3D, e.g. nouveau and others (see Free and open-source graphics device driver for a complete list). The main reason may be that the Gallium3D ...