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  2. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    TensorFlow serves as a core platform and library for machine learning. TensorFlow's APIs use Keras to allow users to make their own machine-learning models. [33] [43] In addition to building and training their model, TensorFlow can also help load the data to train the model, and deploy it using TensorFlow Serving. [44]

  3. General-purpose computing on graphics processing units

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

    Available now, version 1.0.40 GPU-BLAST: Local search with fast k-tuple heuristic: Protein alignment according to blastp, multi CPU threads: 3–4x: T 2075, 2090, K10, K20, K20X: Single only: Available now, version 2.2.26 GPU-HMMER: Parallelized local and global search with profile hidden Markov models: Parallel local and global search of ...

  4. List of platform-independent GUI libraries - Wikipedia

    en.wikipedia.org/wiki/List_of_platform...

    Name Owner Platforms License; Chromium Embedded Framework (CEF) : CEF Project Page Linux, macOS, Microsoft Windows: Free: BSD CEGUI: CEGUI team Linux, macOS ...

  5. 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.

  6. Direct Rendering Manager - Wikipedia

    en.wikipedia.org/wiki/Direct_Rendering_Manager

    The Direct Rendering Manager (DRM) is a subsystem of the Linux kernel responsible for interfacing with GPUs of modern video cards.DRM exposes an API that user-space programs can use to send commands and data to the GPU and perform operations such as configuring the mode setting of the display.

  7. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA (Compute Unified Device Architecture) 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.

  8. Tensor Processing Unit - Wikipedia

    en.wikipedia.org/wiki/Tensor_Processing_Unit

    Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software. [2] Google began using TPUs internally in 2015, and in 2018 made them available for third-party use, both as part of its cloud infrastructure and by ...

  9. WebGPU - Wikipedia

    en.wikipedia.org/wiki/WebGPU

    WebGPU enables 3D graphics within an HTML canvas.It also has robust support for general-purpose GPU computations. [3]WebGPU uses its own shading language called WGSL that was designed to be trivially translatable to SPIR-V, until complaints caused redirection into a more traditional design, similar to other shading languages.