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  2. 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 ...

  3. ROCm - Wikipedia

    en.wikipedia.org/wiki/ROCm

    ROCm software is currently spread across several public GitHub repositories. Within the main public meta-repository , there is an XML manifest for each official release: using git-repo , a version control tool built on top of Git , is the recommended way to synchronize with the stack locally.

  4. Hardware for artificial intelligence - Wikipedia

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

    This article needs attention from an expert in artificial intelligence.The specific problem is: Needs attention from a current expert to incorporate modern developments in this area from the last few decades, including TPUs and better coverage of GPUs, and to clean up the other material and clarify how it relates to the subject.

  5. AMD Instinct - Wikipedia

    en.wikipedia.org/wiki/AMD_Instinct

    AMD Instinct is AMD's brand of data center GPUs. [1] [2] It replaced AMD's FirePro S brand in 2016.Compared to the Radeon brand of mainstream consumer/gamer products, the Instinct product line is intended to accelerate deep learning, artificial neural network, and high-performance computing/GPGPU applications.

  6. 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.

  7. Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Tesla

    M2050 GPU Computing Module [12] July 25, 2011 — 3,092 148.4 No 225 C2070 GPU Computing Module [11] July 25, 2011 1× GF100 575 448 1,150 — GDDR5 384 6 [g] 3,000 144 No 1.0304 0.5152 2.0 247 Internal PCIe GPU (full-height, dual-slot) C2075 GPU Computing Module [13] July 25, 2011 — 3,000 144 No 225 M2070/M2070Q GPU Computing Module [14 ...

  8. AOL Mail

    mail.aol.com/d?reason=invalid_cred

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  9. 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).

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