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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. TensorFlow - Wikipedia

    en.wikipedia.org/wiki/TensorFlow

    In January 2019, the TensorFlow team released a developer preview of the mobile GPU inference engine with OpenGL ES 3.1 Compute Shaders on Android devices and Metal Compute Shaders on iOS devices. [30] In May 2019, Google announced that their TensorFlow Lite Micro (also known as TensorFlow Lite for Microcontrollers) and ARM's uTensor would be ...

  4. List of Rockchip products - Wikipedia

    en.wikipedia.org/wiki/List_of_Rockchip_products

    It replaces the Vivante GC800 GPU of the older RK291x series with an ARM Mali-400 GPU. As of 2013, the RK2926 was targeted at tablets, while the RK2928 was targeted at tablets and Android TV dongles and boxes. [14] RK30xx series. The RK3066 is a high performance dual-core ARM Cortex-A9 mobile processor similar to the Samsung Exynos 4 Dual Core ...

  5. CuPy - Wikipedia

    en.wikipedia.org/wiki/CuPy

    CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3] CuPy shares the same API set as NumPy and SciPy, allowing it to be a drop-in replacement to run NumPy/SciPy code on GPU.

  6. Google JAX - Wikipedia

    en.wikipedia.org/wiki/Google_JAX

    T))(matrices) # without data transfer, in parallel, obtain the mean for both matrices on each CPU/GPU separately means = pmap (jnp. mean)(outputs) print (means) The final line should print the valuesĖ

  7. PyTorch - Wikipedia

    en.wikipedia.org/wiki/PyTorch

    PyTorch is a machine learning library based on the Torch library, [4] [5] [6] used for applications such as computer vision and natural language processing, [7] originally developed by Meta AI and now part of the Linux Foundation umbrella.

  8. ROCm - Wikipedia

    en.wikipedia.org/wiki/ROCm

    ROCm is free, libre and open-source software (except the GPU firmware blobs [4]), and it is distributed under various licenses. ROCm initially stood for Radeon Open Compute platfor m ; however, due to Open Compute being a registered trademark, ROCm is no longer an acronym — it is simply AMD's open-source stack designed for GPU compute.

  9. Pop!_OS - Wikipedia

    en.wikipedia.org/wiki/Pop!_OS

    Pop OS (stylized as Pop!_OS) is a free and open-source Linux distribution, based on Ubuntu, and featuring a customized GNOME desktop environment known as COSMIC.The distribution is developed by American Linux computer manufacturer System76.