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  2. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    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]

  3. Parallel Thread Execution - Wikipedia

    en.wikipedia.org/wiki/Parallel_Thread_Execution

    Writing kernels in PTX requires explicitly registering PTX modules via the CUDA Driver API, typically more cumbersome than using the CUDA Runtime API and Nvidia's CUDA compiler, nvcc. The GPU Ocelot project provided an API to register PTX modules alongside CUDA Runtime API kernel invocations, though the GPU Ocelot is no longer actively maintained.

  4. List of Nvidia graphics processing units - Wikipedia

    en.wikipedia.org/wiki/List_of_Nvidia_graphics...

    Supported API version TDP (Watts) Comments Core Shader Memory Pixel (GP/s) Texture (GT/s) Size Bandwidth Bus type Bus width Single precision Direct3D OpenGL OpenCL CUDA; GeForce 8100 mGPU [44] 2008 MCP78 TSMC 80 nm Un­known Un­known PCIe 2.0 x16 500 1200 400 (system memory) 8:8:4 2 4 Up to 512 from system memory 6.4 12.8

  5. VDPAU - Wikipedia

    en.wikipedia.org/wiki/VDPAU

    It is, however, possible to use Intel's VA-API drivers by way of libvdpau-va-gl. Nvidia hopes other GPU designers will make their products compatible with the open source VDPAU library and provide drivers with VDPAU acceleration by mentioning example names of hardware specific drivers for Intel and ATI: libvdpau_intel.so and libvdpau_ati.so ...

  6. Free and open-source graphics device driver - Wikipedia

    en.wikipedia.org/wiki/Free_and_open-source...

    Drivers without freely (and legally) -available source code are commonly known as binary drivers. Binary drivers used in the context of operating systems that are prone to ongoing development and change (such as Linux) create problems for end users and package maintainers. These problems, which affect system stability, security and performance ...

  7. rCUDA - Wikipedia

    en.wikipedia.org/wiki/RCUDA

    rCUDA, which stands for Remote CUDA, is a type of middleware software framework for remote GPU virtualization. Fully compatible with the CUDA application programming interface ( API ), it allows the allocation of one or more CUDA-enabled GPUs to a single application.

  8. OptiX - Wikipedia

    en.wikipedia.org/wiki/OptiX

    Nvidia OptiX (OptiX Application Acceleration Engine) is a ray tracing API that was first developed around 2009. [1] The computations are offloaded to the GPUs through either the low-level or the high-level API introduced with CUDA. CUDA is only available for Nvidia's graphics products. Nvidia OptiX is part of Nvidia GameWorks. OptiX is a high ...

  9. Simulation Open Framework Architecture - Wikipedia

    en.wikipedia.org/wiki/Simulation_Open_Framework...

    Simulation Open Framework Architecture (SOFA) [1] is an open source framework primarily targeted at real-time physical simulation, with an emphasis on medical simulation.. It is mostly intended for the research community to help develop newer algorithms, but can also be used as an efficient prototyping tool or as a physics engine.