Hybrid memory in a dynamically power gated hardware accelerator

    公开(公告)号:US12135993B2

    公开(公告)日:2024-11-05

    申请号:US18321919

    申请日:2023-05-23

    Applicant: Apple Inc.

    Abstract: In an embodiment, a local memory dedicated to one or more hardware accelerators in a system may include at least two portions: a volatile portion and a non-volatile portion. Data that is reused from iteration to iteration of the hardware accelerator (e.g. constants, instruction words, etc.) may be stored in the non-volatile portion. Data that varies from iteration to iteration may be stored in the volatile portion. Both the local memory and the hardware accelerators may be powered down between iterations, saving power. The non-volatile portion need only be initialized at a first iteration, allowing the amount of time that the hardware accelerators and the local memory are powered up to be lessened for subsequent iterations since the reused data need not be reloaded in the subsequent iterations.

    Hybrid memory in a dynamically power gated hardware accelerator

    公开(公告)号:US11693699B2

    公开(公告)日:2023-07-04

    申请号:US16919930

    申请日:2020-07-02

    Applicant: Apple Inc.

    CPC classification number: G06F9/5016 G06F9/3004 G06F9/5044

    Abstract: In an embodiment, a local memory dedicated to one or more hardware accelerators in a system may include at least two portions: a volatile portion and a non-volatile portion. Data that is reused from iteration to iteration of the hardware accelerator (e.g. constants, instruction words, etc.) may be stored in the non-volatile portion. Data that varies from iteration to iteration may be stored in the volatile portion. Both the local memory and the hardware accelerators may be powered down between iterations, saving power. The non-volatile portion need only be initialized at a first iteration, allowing the amount of time that the hardware accelerators and the local memory are powered up to be lessened for subsequent iterations since the reused data need not be reloaded in the subsequent iterations.

    Dynamic variable bit width neural processor

    公开(公告)号:US11593628B2

    公开(公告)日:2023-02-28

    申请号:US16810675

    申请日:2020-03-05

    Applicant: Apple Inc.

    Abstract: Embodiments relate to an electronic device that includes a neural processor having multiple neural engine circuits that operate in multiple modes of different bit width. A neural engine circuit may include a first multiply circuit and a second multiply circuit. The first and second multiply circuits may be combined to work as a part of a combined computation circuit. In a first mode, the first multiply circuit generates first output data of a first bit width by multiplying first input data with a first kernel coefficient. The second multiply circuit generates second output data of the first bit width by multiplying second input data with a second kernel coefficient. In a second mode, the combined computation circuit generates third output data of a second bit width by multiplying third input data with a third kernel coefficient.

    Rendering computer-generated reality text

    公开(公告)号:US11308685B2

    公开(公告)日:2022-04-19

    申请号:US17028887

    申请日:2020-09-22

    Applicant: Apple Inc.

    Abstract: Various implementations disclosed herein include devices, systems, and methods that dynamically-size zones used in foveated rendering of content that includes text. In some implementations, this involves adjusting the size of a first zone, e.g., a foveated gaze zone (FGZ), based on the apparent size of text from a viewpoint. For example, a FGZ may be increased or decreased in width, height, diameter, or other size attribute based on determining an angle subtended by one or more individual glyphs of the text from the viewpoint. Various implementations disclosed herein include devices, systems, and methods that select a text-rendering algorithm based on a relationship between (a) the rendering resolution of a portion of an image corresponding to a part of a glyph and (b) the size that the part of the glyph will occupy in the image.

    Dynamic Granular Memory Power Gating for Hardware Accelerators

    公开(公告)号:US20220004236A1

    公开(公告)日:2022-01-06

    申请号:US16919908

    申请日:2020-07-02

    Applicant: Apple Inc.

    Abstract: In an embodiment, a local memory that is dedicated to one or more hardware accelerators is divided into a plurality of independently powerable sections. That is, one or more of the sections may be powered on while other ones of the plurality of sections are powered off. The hardware accelerators receive instruction words from one or more central processing units (CPUs). The instruction words may include a field that specifies an amount of the memory that is used when processing the first instruction word, and the power control circuit may be configured to power a subset of the plurality of sections to provide sufficient memory for the instruction word based on the field, while one or more of the plurality of sections are powered off.

    DYNAMIC VARIABLE BIT WIDTH NEURAL PROCESSOR

    公开(公告)号:US20210279557A1

    公开(公告)日:2021-09-09

    申请号:US16810675

    申请日:2020-03-05

    Applicant: Apple Inc.

    Abstract: Embodiments relate to an electronic device that includes a neural processor having multiple neural engine circuits that operate in multiple modes of different bit width. A neural engine circuit may include a first multiply circuit and a second multiply circuit. The first and second multiply circuits may be combined to work as a part of a combined computation circuit. In a first mode, the first multiply circuit generates first output data of a first bit width by multiplying first input data with a first kernel coefficient. The second multiply circuit generates second output data of the first bit width by multiplying second input data with a second kernel coefficient. In a second mode, the combined computation circuit generates third output data of a second bit width by multiplying third input data with a third kernel coefficient.

    Dynamic variable bit width neural processor

    公开(公告)号:US12050987B2

    公开(公告)日:2024-07-30

    申请号:US18114169

    申请日:2023-02-24

    Applicant: Apple Inc.

    CPC classification number: G06N3/063 G06N3/04 G06N3/08

    Abstract: Embodiments relate to an electronic device that includes a neural processor having multiple neural engine circuits that operate in multiple modes of different bit width. A neural engine circuit may include a first multiply circuit and a second multiply circuit. The first and second multiply circuits may be combined to work as a part of a combined computation circuit. In a first mode, the first multiply circuit generates first output data of a first bit width by multiplying first input data with a first kernel coefficient. The second multiply circuit generates second output data of the first bit width by multiplying second input data with a second kernel coefficient. In a second mode, the combined computation circuit generates third output data of a second bit width by multiplying third input data with a third kernel coefficient.

    Dynamic granular memory power gating for hardware accelerators

    公开(公告)号:US11385693B2

    公开(公告)日:2022-07-12

    申请号:US16919908

    申请日:2020-07-02

    Applicant: Apple Inc.

    Abstract: In an embodiment, a local memory that is dedicated to one or more hardware accelerators is divided into a plurality of independently powerable sections. That is, one or more of the sections may be powered on while other ones of the plurality of sections are powered off. The hardware accelerators receive instruction words from one or more central processing units (CPUs). The instruction words may include a field that specifies an amount of the memory that is used when processing the first instruction word, and the power control circuit may be configured to power a subset of the plurality of sections to provide sufficient memory for the instruction word based on the field, while one or more of the plurality of sections are powered off.

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