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    Scheduling heterogeneous computation on multithreaded processors
    41.
    发明授权
    Scheduling heterogeneous computation on multithreaded processors 有权

    公开(公告)号：US12118398B2

    公开(公告)日：2024-10-15

    申请号：US16041066

    申请日：2018-07-20

    Applicant: Imagination Technologies Limited

    Inventor： Luke Tilman Peterson ,  James Alexander McCombe

    IPC: G06F9/50 ,  G06F9/38

    CPC classification number: G06F9/5038 ,  G06F9/3828 ,  G06F9/3851 ,  G06F9/3891 ,  G06F2209/506

    Abstract: Aspects include computation systems that can identify computation instances that are not capable of being reentrant, or are not reentrant capable on a target architecture, or are non-reentrant as a result of having a memory conflict in a particular execution situation. For example, a system can have a plurality of computation units, each with an independently schedulable SIMD vector. Computation instances can be defined by a program module, and a data element(s) that may be stored in a local cache for a particular computation unit of the plurality. Each local cache does not maintain coherency controls for such data elements. During scheduling, a scheduler can maintain a list of running (or runnable) instances, and attempt to schedule new computation instances by determining whether any new computation instance conflicts with a running instance and responsively defer scheduling. Such memory conflict checks can be conditioned on a flag or other indication of the potential for non-reentrancy.

    METHODS AND SYSTEMS FOR PERFORMING A SPARSE SUBMANIFOLD CONVOLUTION USING AN NNA
    43.
    发明公开
    METHODS AND SYSTEMS FOR PERFORMING A SPARSE SUBMANIFOLD CONVOLUTION USING AN NNA 审中-公开

    公开(公告)号：US20240320298A1

    公开(公告)日：2024-09-26

    申请号：US18591401

    申请日：2024-02-29

    Applicant: Imagination Technologies Limited

    Inventor： Gunduz Vehbi Demirci ,  Cagatay Dikici ,  Grant Michael Stevens ,  Le Yang

    IPC: G06F17/16

    CPC classification number: G06F17/16

    Abstract: Methods of implementing a sparse submanifold convolution using a neural network accelerator. The methods include: receiving, at the neural network accelerator, an input tensor in a sparse format; performing, at the neural network accelerator, for each position of a kernel of the sparse submanifold convolution, a 1×1 convolution between the received input tensor and weights of filters of the sparse submanifold convolution at that kernel position to generate a plurality of partial outputs; and combining appropriate partial outputs of the plurality of partial outputs to generate an output tensor of the sparse submanifold convolution in sparse format.

    HARDWARE EFFICIENT ROUNDING
    45.
    发明公开
    HARDWARE EFFICIENT ROUNDING 审中-公开

    公开(公告)号：US20240319963A1

    公开(公告)日：2024-09-26

    申请号：US18581261

    申请日：2024-02-19

    Applicant: Imagination Technologies Limited

    Inventor： Rostam King ,  Simon Fenney

    IPC: G06F7/499

    CPC classification number: G06F7/49963

    Abstract: A binary logic circuit and method for rounding an unsigned normalised n-bit binary number to an m-bit binary number. A correction value of length of n bits and a pre-truncation value of length of n bits are determined. The correction value is determined by shifting the n-bit number by m bits. The pre-truncation value is determined based on at least the n-bit number, the correction value, a value for the most significant bit (MSB) of the n-bit number, and a rounding value having a ‘1’ at the n−mth bit position and a ‘0’ at all other bits. The rounded m-bit number is then obtained by truncating the n−m least significant bits (LSB) of the pre-truncation value.

    DATA COMPRESSION AND DECOMPRESSION METHODS AND SYSTEMS IN RAY TRACING
    48.
    发明公开
    DATA COMPRESSION AND DECOMPRESSION METHODS AND SYSTEMS IN RAY TRACING 审中-公开

    公开(公告)号：US20240303867A1

    公开(公告)日：2024-09-12

    申请号：US18599517

    申请日：2024-03-08

    Applicant: Imagination Technologies Limited

    Inventor： Peter Smith-Lacey

    IPC: G06T9/00 ,  G06T15/04 ,  G06T15/06 ,  G06T15/08

    CPC classification number: G06T9/00 ,  G06T15/04 ,  G06T15/06 ,  G06T15/08 ,  G06T2210/12 ,  G06T2210/21 ,  G06T2210/36

    Abstract: A method of compressing data for representing displacement information in a ray tracing system, wherein the displacement information indicates displacements to be applied to geometry in a scene to be rendered by the ray tracing system. The method includes retrieving a pair of datasets representing the displacement information, wherein a first of the datasets comprises a first array of values, and a second of the datasets comprises a second array of values; retrieving values from a corresponding array position in each of the first and second arrays, wherein the retrieved values form a pair of values representing an upper and lower bound of a magnitude of displacement for the corresponding array position. The method includes identifying which of a plurality of predetermined conditions the pair of values satisfies, and encoding the pair of values as a single value in a compressed dataset, wherein the single value represents the identified predetermined condition.

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