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  2. General-purpose computing on graphics processing units

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

    Alea GPU also provides a simplified GPU programming model based on GPU parallel-for and parallel aggregate using delegates and automatic memory management. [22] MATLAB supports GPGPU acceleration using the Parallel Computing Toolbox and MATLAB Distributed Computing Server, [23] and third-party packages like Jacket.

  3. 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.

  4. 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 ...

  5. Tensor Processing Unit - Wikipedia

    en.wikipedia.org/wiki/Tensor_Processing_Unit

    The SBC Coral Dev Board and Coral SoM both run Mendel Linux OS – a derivative of Debian. [ 45 ] [ 46 ] The USB, PCI-e, and M.2 products function as add-ons to existing computer systems, and support Debian-based Linux systems on x86-64 and ARM64 hosts (including Raspberry Pi ).

  6. AVX-512 - Wikipedia

    en.wikipedia.org/wiki/AVX-512

    Numenta touts their "highly sparse" [50] neural network technology, which they say obviates the need for GPUs as their algorithms run on CPUs with AVX-512. [51] They claim a ten times speedup relative to A100 largely because their algorithms reduce the size of the neural network, while maintaining accuracy , by techniques such as the Sparse ...

  7. Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Tesla

    S1070 GPU Computing Server "400 configuration" [e] June 1, 2008 4× GT200 602 960 1296 — GDDR3 4× 512 4× 4 1538.4 4× 98.5 No 2.488 0.311 1.3 800 1U rack-mount external GPUs, connect via 2× PCIe (×8 or ×16) S1070 GPU Computing Server "500 configuration" [e] June 1, 2008 1440 — No 2.765 0.3456 S1075 GPU Computing Server [e] [10] June 1 ...

  8. Mesa (computer graphics) - Wikipedia

    en.wikipedia.org/wiki/Mesa_(computer_graphics)

    Mesa also contains an implementation of software rendering called swrast that allows shaders to run on the CPU as a fallback when no graphics hardware accelerators are present. The Gallium software rasterizer is known as softpipe or when built with support for LLVM llvmpipe , which generates CPU code at runtime.

  9. Nvidia DGX - Wikipedia

    en.wikipedia.org/wiki/Nvidia_DGX

    Announced March 2024, GB200 NVL72 connects 36 Grace Neoverse V2 72-core CPUs and 72 B100 GPUs in a rack-scale design. The GB200 NVL72 is a liquid-cooled, rack-scale solution that boasts a 72-GPU NVLink domain that acts as a single massive GPU . Nvidia DGX GB200 offers 13.5 TB HBM3e of shared memory with linear scalability for giant AI models ...