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    System and method to implement masked vector instructions
    1.
    发明授权
    System and method to implement masked vector instructions 有权

    公开(公告)号：US11650817B2

    公开(公告)日：2023-05-16

    申请号：US17276598

    申请日：2019-09-18

    Applicant: Optimum Semiconductor Technologies Inc.

    Inventor： Mayan Moudgill ,  Murugappan Senthilvelan

    IPC: G06F9/30

    CPC classification number: G06F9/30036 ,  G06F9/3013 ,  G06F9/30018

    Abstract: A processor includes a register file comprising a length register, a vector register file comprising a plurality of vector registers, a mask register file comprising a plurality of mask registers, and a vector instruction execution circuit to execute a masked vector instruction comprising a first length register identifier representing the length register, a first vector register identifier representing a first vector register of the vector register file, and a first mask register identifier representing a first mask register of the mask register file, wherein the length register is to store a length value representing a number of operations to be applied to data elements stored in the first vector register, the first mask register is to store a plurality of mask bits, and a first mask bit of the plurality of mask bits determines whether a corresponding first one of the operations causes an effect.

    DUAL ADAPTIVE COLLISION AVOIDANCE SYSTEM
    3.
    发明申请
    DUAL ADAPTIVE COLLISION AVOIDANCE SYSTEM 有权

    公开(公告)号：US20220063573A1

    公开(公告)日：2022-03-03

    申请号：US17275007

    申请日：2019-09-11

    Applicant: Optimum Semiconductor Technologies Inc.

    Inventor： Samantha MURPHY ,  John GLOSSNER ,  Sabin Daniel IANCU

    IPC: B60T7/22

    Abstract: An anti-collision system and method of a vehicle including a first sensor device to capture first sensor data associated with a first vehicle in front of the vehicle, a second sensor device to capture second sensor data associated with a second vehicle behind the vehicle, and a processing device to calculate, based on the first sensor data, a plurality of first parameters characterizing the first vehicle, calculate, based on the second sensor data, a plurality of second parameters characterizing the second vehicle, responsive to detecting a braking event by the first vehicle, determine, based on a rule taking into consideration at least one of the plurality of first parameters and at least one of the plurality of second parameters, a braking force for the vehicle, and generate a braking control signal that applies the braking force to brakes of the vehicle.

    FEEDBACKWARD DECODER FOR PARAMETER EFFICIENT SEMANTIC IMAGE SEGMENTATION
    9.
    发明申请
    FEEDBACKWARD DECODER FOR PARAMETER EFFICIENT SEMANTIC IMAGE SEGMENTATION 有权

    公开(公告)号：US20220262002A1

    公开(公告)日：2022-08-18

    申请号：US17623714

    申请日：2020-06-30

    Applicant: Optimum Semiconductor Technologies Inc.

    Inventor： Beinan WANG ,  John GLOSSNER ,  Sabin Daniel IANCU

    IPC: G06T7/10 ,  G06T3/40

    Abstract: A system and method relating to constructing an encoder and decoder neural network for providing semantic image segmentation includes generating an encoder comprising encoding convolution layers, each of the encoding convolution layers specifying an encoding filter operation using a respective first filter kernel, generating a decoder corresponding to the encoder, the decoder comprising decoding convolution layers, each of the decoding convolution layers being associated with a corresponding encoding convolution layer, and each of the decoding convolution layers specifying a decoding filter operation using a respective second filter kernel derived from the first filter kernel of the corresponding encoder convolution layer, and providing an input image to the encoder and the decoder for semantic image segmentation.

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