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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, [17] which supersedes the beta released February 14, 2008. [18]

  3. List of Nvidia graphics processing units - Wikipedia

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

    Direct3D – Maximum version of Direct3D fully supported. OpenGL – Maximum version of OpenGL fully supported. OpenCL – Maximum version of OpenCL fully supported. Vulkan – Maximum version of Vulkan fully supported. Features – Added features that are not standard as a part of the two graphics libraries.

  4. 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.

  5. Ampere (microarchitecture) - Wikipedia

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

    CUDA Compute Capability 8.0 for A100 and 8.6 for the GeForce 30 series [7] TSMC's 7 nm FinFET process for A100; Custom version of Samsung's 8 nm process (8N) for the GeForce 30 series [8] Third-generation Tensor Cores with FP16, bfloat16, TensorFloat-32 (TF32) and FP64 support and sparsity acceleration. [9]

  6. List of AMD graphics processing units - Wikipedia

    en.wikipedia.org/wiki/List_of_AMD_graphics...

    The following is a list that contains general information about GPUs and video cards made by AMD, including those made by ATI Technologies before 2006, based on official specifications in table-form. Field explanations

  7. General-purpose computing on graphics processing units

    en.wikipedia.org/wiki/General-purpose_computing...

    The dominant proprietary framework is Nvidia CUDA. [13] Nvidia launched CUDA in 2006, a software development kit (SDK) and application programming interface (API) that allows using the programming language C to code algorithms for execution on GeForce 8 series and later GPUs. ROCm, launched in 2016, is AMD's open-source response to CUDA. It is ...

  8. List of Intel graphics processing units - Wikipedia

    en.wikipedia.org/wiki/List_of_Intel_graphics...

    Graphics Launch Market Chipset Code name Device ID [3] Core render clock () Pixel pipelines Shader model (vertex/pixel) API support [4] Memory bandwidth ()DVMT ()Hardware acceleration

  9. GeForce 30 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_30_series

    The GeForce 30 series is a suite of graphics processing units (GPUs) designed and marketed by Nvidia, succeeding the GeForce 20 series.The GeForce 30 series is based on the Ampere architecture, which features Nvidia's second-generation ray tracing (RT) cores and third-generation Tensor Cores. [3]