公开(公告)号：US20230078991A1

公开(公告)日：2023-03-16

申请号：US17982574

申请日：2022-11-08

Applicant: QUALCOMM Incorporated

Inventor： Hee Jun PARK ,  Richard Gerard HOFMANN

IPC: G06F9/50 ,  G06N20/00 ,  G06F13/28

Abstract: Certain aspects of the present disclosure provide a method for performing parallel data processing, including: receiving data for parallel processing from a data processing requestor; generating a plurality of data sub-blocks; determining a plurality of data portions in each data sub-block of the plurality of data sub-blocks; changing an order of the plurality of data portions in at least one data sub-block of the plurality of data sub-blocks; providing the plurality of data sub-blocks, including the at least one data sub-block comprising the changed order of the plurality of data portions, to a plurality of processing units for parallel processing; and receiving processed data associated with the plurality of data sub-blocks from the plurality of processing units.

公开(公告)号：US20220194423A1

公开(公告)日：2022-06-23

申请号：US17128554

申请日：2020-12-21

Applicant: QUALCOMM Incorporated

Inventor： Hee Jun PARK ,  Abhinav Goel

IPC: B60W60/00 ,  G06N3/04

Abstract: Embodiments include methods performed by a processor of a vehicle for allocating processing resources to concurrently-executing neural networks. The methods may include determining a priority of each of a plurality of neural networks executing on a vehicle processing system based on a contribution of each neural network to overall vehicle safety performance, and allocating computing resources to the plurality of neural networks based on the determined priority of each neural network. In some embodiments, the methods may dynamically adjust hyperparameters of one or more neural networks.

公开(公告)号：US20210367904A1

公开(公告)日：2021-11-25

申请号：US16882629

申请日：2020-05-25

Applicant: QUALCOMM Incorporated

Inventor： Hee Jun PARK ,  Huang HUANG

IPC: H04L12/911 ,  H04L12/26

Abstract: Embodiments include methods for managing the processing of data and performing computing tasks of a wireless device using computing resources of a remote network computing device. A wireless device and a network computing device may dynamically track factors affecting a round-trip latency of a computing task. The wireless device and the network computing device may generate and send metadata including the factors and a latency budget for the computing task. The wireless device and the network computing device may adjust a processing time for processing data related to the computing task based the received metadata and the latency budget.

公开(公告)号：US20210212058A1

公开(公告)日：2021-07-08

申请号：US16737464

申请日：2020-01-08

Applicant: QUALCOMM Incorporated

Inventor： Shay LANDIS ,  Soumya DAS ,  David YUNUSOV ,  Hee Jun PARK ,  James Francis GEEKIE ,  Moshe BEN-ARI

IPC: H04W72/04 ,  H04W4/40 ,  H04B7/08

Abstract: User equipment (UE) may benefit from power management techniques, for example, in the context of cellular vehicle-to-everything (CV2X) communication. In various aspects of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a UE configured to determine whether a first subframe includes at least one sub-channel carrying information intended for the UE, receive the information via at least one receive (Rx) chain associated with the at least one sub-channel when the information intended for the UE is carried on the at least one sub-channel included in the first subframe, and deactivate the at least one Rx chain associated with the at least one sub-channel based on whether the information intended for the UE is absent from the at least one sub-channel included in the first subframe.

公开(公告)号：US20200059813A1

公开(公告)日：2020-02-20

申请号：US16526732

申请日：2019-07-30

Applicant: QUALCOMM Incorporated

Inventor： Hee Jun PARK ,  Cheol Hee PARK

IPC: H04W28/02 ,  H04W4/46

Abstract: Aspects of the disclosure relate to mechanisms for a vehicle-to-everything (V2X) device to prioritize communication from other nearby V2X devices and to selectively process packets from the other nearby V2X devices based on the assigned priorities. The V2X device may measure one or more performance factors of the V2X device, and select one or more other nearby V2X devices to receive and process packets therefrom based on the performance factors and the priorities assigned to the other V2X devices. The V2X device may then ignore any packets received from non-selected V2X devices to reduce and/or control the receive packet flow rate. The performance factors may further be utilized to control one or more transmission characteristics, such as the transmit power and transmit packet flow rate.

公开(公告)号：US20230100036A1

公开(公告)日：2023-03-30

申请号：US17448864

申请日：2021-09-24

Applicant: QUALCOMM Incorporated

Inventor： Hee Jun PARK ,  Bohuslav RYCHLIK ,  Niraj Shantilal PALIWAL

IPC: G06F11/30 ,  G06F11/07 ,  G06F7/544 ,  G06N3/04

Abstract: Certain aspects of the present disclosure provide techniques for improved hardware utilization. An input data tensor is divided into a first plurality of sub-tensors, and a plurality of logical sub-arrays in a physical multiply-and-accumulate (MAC) array is identified. For each respective sub-tensor of the first plurality of sub-tensors, the respective sub-tensor is mapped to a respective logical sub-array of the plurality of logical sub-arrays, and the respective sub-tensor is processed using the respective logical sub-array.

公开(公告)号：US20220309314A1

公开(公告)日：2022-09-29

申请号：US17210644

申请日：2021-03-24

Applicant: QUALCOMM Incorporated

Inventor： Hee Jun PARK ,  Eric Wayne MAHURIN ,  Tijmen Pieter Frederik BLANKEVOORT

IPC: G06N3/04 ,  G06N3/063

Abstract: Various embodiments include methods and devices for processing a neural network by an artificial intelligence (AI) processor. Embodiments may include receiving an AI processor operating condition information, dynamically adjusting an AI quantization level for a segment of a neural network in response to the operating condition information, and processing the segment of the neural network quantization using the adjusted AI quantization level.

公开(公告)号：US20210266867A1

公开(公告)日：2021-08-26

申请号：US16797674

申请日：2020-02-21

Applicant: QUALCOMM Incorporated

Inventor： Soumya DAS ,  Hee Jun PARK ,  Sean Vincent MASCHUE ,  Sivaramakrishna VEEREPALLI

IPC: H04W72/02 ,  H04W4/40 ,  H04W4/12 ,  H04W72/10

Abstract: Techniques described herein provide for filtering and prioritizing incoming messages, which can help reduce and smooth out the processing load on components used to process the incoming messages. Filtering techniques may comprise identifying a subset of nearby vehicles from which messages are to be processed, and further calculating remaining delay budgets with regard to the messages to prioritize them for processing. Different techniques for determining a subset of nearby vehicles can be used, and/or remaining delay budgets may be calculated and/or communicated in different ways.

公开(公告)号：US20200382922A1

公开(公告)日：2020-12-03

申请号：US15931088

申请日：2020-05-13

Applicant: QUALCOMM Incorporated

Inventor： Hee Jun PARK ,  Assaf TOUBOUL ,  Shmuel VAGNER

IPC: H04W4/40 ,  H04L29/06 ,  H04L29/08

Abstract: A method, apparatus, and computer-readable medium for wireless communication at a first UE, such as C-V2X. The apparatus receives a message comprising a control channel and a data channel from a second UE. The apparatus decodes, at the physical layer, a subset of fields of the control channel. The apparatus determines a priority of the message relative to the first UE based on the subset of fields and determines, at the physical layer, whether to decode the message based on the priority of the message relative to the first UE. The apparatus forwards the message to higher OSI layers for a next stage of decoding when a determination is made at the physical layer to decode the message. The apparatus skips the next stage of decoding of the message at the higher OSI layers when the determination is made at the physical layer not to decode the message.

公开(公告)号：US20200382706A1

公开(公告)日：2020-12-03

申请号：US16995546

申请日：2020-08-17

Applicant: QUALCOMM Incorporated

Inventor： Young Hoon KANG ,  Hee Jun PARK ,  Tauseef KAZI ,  Ron GAIZMAN ,  Eran PINHASOV ,  Meir TZUR

IPC: H04N5/232 ,  G06N3/08

Abstract: Techniques and systems are provided for machine-learning based image stabilization. In some examples, a system obtains a sequence of frames captured by an image capture device during a period of time, and collects motion sensor measurements calculated by a motion sensor associated with the image capture device based on movement of the image capture device during the period of time. The system generates, using a deep learning network and the motion sensor measurements, parameters for counteracting motions in one or more frames in the sequence of frames, the motions resulting from the movement of the image capture device during the period of time. The system then adjusts the one or more frames in the sequence of frames according to the parameters to generate one or more adjusted frames having a reduction in at least some of the motions in the one or more frames.