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  2. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA 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.

  3. Julia (programming language) - Wikipedia

    en.wikipedia.org/wiki/Julia_(programming_language)

    Hundreds of packages are GPU-accelerated: [122] Nvidia GPUs have support with CUDA.jl (tier 1 on 64-bit Linux and tier 2 on 64-bit Windows, the package implementing PTX, for compute capability 3.5 (Kepler) or higher; both require CUDA 11

  4. Turing (microarchitecture) - Wikipedia

    en.wikipedia.org/wiki/Turing_(microarchitecture)

    CUDA cores: 4608 3072 2304 1536 1024 Texture mapping units: 288 192 144 96 64 Render output units: 96 64 64 48 32 Tensor cores: 576 384 288 — RT cores: 72 48 36 L1 cache: 6.75 MB 4.5 MB 3.375 MB 2.25 MB 1.5 MB 96 KB per SM L2 cache 6 MB 4 MB 4 MB 1.5 MB 1 MB

  5. Quadro - Wikipedia

    en.wikipedia.org/wiki/Quadro

    Scalable Link Interface, or SLI, has been considered as the next generation of Plex. Originally used for the GeForce line of graphics cards, it is a multi-GPU technology that uses two or more video cards to produce a single output.

  6. Direct3D - Wikipedia

    en.wikipedia.org/wiki/Direct3D

    Direct3D 12 for Windows 10 requires graphics hardware conforming to feature levels 11_0 and 11_1 which support virtual memory address translations and requires WDDM 2.0 drivers. There are two new feature levels, 12_0 and 12_1, which include some new features exposed by Direct3D 12 that are optional on levels 11_0 and 11_1. [158]