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2. Hardware for artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Hardware_for_artificial...

   Specialized computer hardware is often used to execute artificial intelligence (AI) programs faster, and with less energy, such as Lisp machines, neuromorphic engineering, event cameras, and physical neural networks. Since 2017, several consumer grade CPUs and SoCs have on-die NPUs. As of 2023, the market for AI hardware is dominated by GPUs. [1]

3. ROCm - Wikipedia

   en.wikipedia.org/wiki/ROCm

   ROCm [3] is an Advanced Micro Devices (AMD) software stack for graphics processing unit (GPU) programming. ROCm spans several domains: general-purpose computing on graphics processing units (GPGPU), high performance computing (HPC), heterogeneous computing.

4. oneAPI (compute acceleration) - Wikipedia

   en.wikipedia.org/wiki/OneAPI_(compute_acceleration)

   oneAPI is an open standard, adopted by Intel, [1] for a unified application programming interface (API) intended to be used across different computing accelerator (coprocessor) architectures, including GPUs, AI accelerators and field-programmable gate arrays. It is intended to eliminate the need for developers to maintain separate code bases ...

5. CUDA - Wikipedia

   en.wikipedia.org/wiki/CUDA

   CUDA is a software layer that gives direct access to the GPU's virtual instruction set and parallel computational elements for the execution of compute kernels. [5] In addition to drivers and runtime kernels, the CUDA platform includes compilers, libraries and developer tools to help programmers accelerate their applications.

6. AI accelerator - Wikipedia

   en.wikipedia.org/wiki/AI_accelerator

   An AI accelerator, deep learning processor or neural processing unit (NPU) is a class of specialized hardware accelerator [1] or computer system [2] [3] designed to accelerate artificial intelligence (AI) and machine learning applications, including artificial neural networks and computer vision.

7. General-purpose computing on graphics processing units

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

   General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU).

8. Skia Graphics Engine - Wikipedia

   en.wikipedia.org/wiki/Skia_Graphics_Engine

   The Skia Graphics Engine or Skia is an open-source 2D graphics library written in C++. Skia abstracts away platform-specific graphics APIs (which differ from one to another). [ 1 ] Skia Inc. originally developed the library; Google acquired it in 2005, [ 2 ] and then released the software as open source licensed under the New BSD free software ...

9. Free and open-source graphics device driver - Wikipedia

   en.wikipedia.org/wiki/Free_and_open-source...

   A free and open-source graphics device driver is a software stack which controls computer-graphics hardware and supports graphics-rendering application programming interfaces (APIs) and is released under a free and open-source software license. Graphics device drivers are written for specific hardware to work within a specific operating system ...