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  2. 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.

  3. Meteor Lake - Wikipedia

    en.wikipedia.org/wiki/Meteor_Lake

    The 4K (4096) MACs operating at up to 1.4 GHz can perform up to 11 TOPS [57] with the total platform providing 34 TOPS of compute performance when including 5 TOPS from the CPU and 18 TOPS from the iGPU. [58] Meteor Lake's NPU allows AI acceleration and neural processing like Stable Diffusion to be done locally, on silicon rather than in the ...

  4. List of AMD Ryzen processors - Wikipedia

    en.wikipedia.org/wiki/List_of_AMD_Ryzen_processors

    CPU uses Zen4 cores (Phoenix) or a combination of Zen4 and Zen4c cores (Phoenix2). GPU uses the RDNA 3 (Navi 3) architecture. Some models include first generation Ryzen AI NPU (XDNA). All models support AVX-512 using a half-width 256-bit FPU. PCIe 4.0 support. Native USB 4 (40Gbps) Ports: 2; Native USB 3.2 Gen 2 (10Gbps) Ports: 2

  5. Qualcomm Hexagon - Wikipedia

    en.wikipedia.org/wiki/Qualcomm_Hexagon

    Qualcomm announced Hexagon Vector Extensions (HVX). HVX is designed to allow significant compute workloads for advanced imaging and computer vision to be processed on the DSP instead of the CPU. [19] In March 2015 Qualcomm announced their Snapdragon Neural Processing Engine SDK which allow AI acceleration using the CPU, GPU and Hexagon DSP. [20]

  6. Arrow Lake (microprocessor) - Wikipedia

    en.wikipedia.org/wiki/Arrow_Lake_(microprocessor)

    Many ARM-based processors, such as Apple's M series SoCs, do not feature SMT as it is less beneficial on processors with a short processor pipeline and including it increases the physical core area. With a longer processor pipeline, like the one used by Intel, it is more difficult to keep the CPU cores fed with useful data in a workload.

  7. RDNA 3 - Wikipedia

    en.wikipedia.org/wiki/RDNA_3

    RDNA 3's Compute Units (CUs) for graphics processing are organized in dual CU Work Group Processors (WGPs). Rather than including a very large number of WGPs in RDNA 3 GPUs, AMD instead focused on improving per-WGP throughput. This is done with improved dual-issue shader ALUs with the ability to execute two instructions per cycle. It can ...

  8. Pointing stick - Wikipedia

    en.wikipedia.org/wiki/Pointing_stick

    The velocity of the pointer depends on the applied force so increasing pressure causes faster movement. The relation between pressure and pointer speed can be adjusted, just as mouse speed is adjusted. On a QWERTY keyboard, the stick is typically embedded between the G, H and B keys, and the mouse buttons are placed just below the space bar ...

  9. List of Intel CPU microarchitectures - Wikipedia

    en.wikipedia.org/wiki/List_of_Intel_CPU_micro...

    Itanium processor featuring an all-new microarchitecture. [26] 8 cores, decoupling in pipeline and in multithreading. 12-wide issue with partial out-of-order execution. [27] Kittson the last Itanium. It has the same microarchitecture as Poulson, but slightly higher clock speed for the top two models.