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  2. Nvidia CUDA Compiler - Wikipedia

    en.wikipedia.org/wiki/Nvidia_CUDA_Compiler

    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.

  3. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    CUDA is designed to work with programming languages such as C, C++, Fortran and Python. This accessibility makes it easier for specialists in parallel programming to use GPU resources, in contrast to prior APIs like Direct3D and OpenGL , which require advanced skills in graphics programming. [ 6 ]

  4. Nvidia PureVideo - Wikipedia

    en.wikipedia.org/wiki/Nvidia_PureVideo

    MVC acceleration is OS dependent: it is fully supported in Microsoft Windows through the Microsoft DXVA and Nvidia CUDA APIs, but is not supported through Nvidia's VDPAU API. The fourth generation PureVideo HD is sometimes called "PureVideo HD 4" or VP4, although this is not an official Nvidia designation.

  5. Nvidia NVDEC - Wikipedia

    en.wikipedia.org/wiki/Nvidia_NVDEC

    Nvidia NVDEC (formerly known as NVCUVID [1]) is a feature in its graphics cards that performs video decoding, offloading this compute-intensive task from the CPU. [2] NVDEC is a successor of PureVideo and is available in Kepler and later NVIDIA GPUs. It is accompanied by NVENC for video encoding in Nvidia's Video Codec SDK. [2]

  6. Nvidia NVENC - Wikipedia

    en.wikipedia.org/wiki/Nvidia_NVENC

    The NVIDIA GT 1030 and the Mobile Quadro P500 are GP108 chips that don't support the NVENC encoder. [11] In laptop graphics, NVIDIA MX Graphics do not include NVENC as they are based on a Maxwell-generation GM108 or a Pascal-generation GP108 chip. [15] The GeForce MX350 is a GP107 chip whose NVENC encoder is disabled during manufacture.

  7. Nvidia Optimus - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Optimus

    Nvidia Optimus is a computer GPU switching technology created by Nvidia which, depending on the resource load generated by client software applications, will seamlessly switch between two graphics adapters within a computer system in order to provide either maximum performance or minimum power draw from the system's graphics rendering hardware.

  8. Consulting firm McKinsey to pay $650 million to resolve US ...

    www.aol.com/news/consulting-firm-mckinsey-pay...

    By Nate Raymond and Mike Spector. BOSTON (Reuters) -McKinsey & Co has agreed to pay $650 million to resolve a U.S. Department of Justice investigation into the consulting firm's work advising ...

  9. PhysX - Wikipedia

    en.wikipedia.org/wiki/PhysX

    Nvidia APEX technology is a multi-platform scalable dynamics framework build around the PhysX SDK. It was first introduced in Mafia II in August 2010. [26] Nvidia's APEX comprises the following modules: APEX Destruction, APEX Clothing, APEX Particles, APEX Turbulence, APEX ForceField and formerly APEX Vegetation which was suspended in 2011. [27 ...

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