CN113490943A - 一种集成芯片以及处理传感器数据的方法 - Google Patents

一种集成芯片以及处理传感器数据的方法 Download PDF

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CN113490943A
CN113490943A CN201980091752.4A CN201980091752A CN113490943A CN 113490943 A CN113490943 A CN 113490943A CN 201980091752 A CN201980091752 A CN 201980091752A CN 113490943 A CN113490943 A CN 113490943A
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processor
sensor
data
target data
accelerator
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CN113490943B (zh
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朱正超
刘宇
张琦
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F15/00—Digital computers in general; Data processing equipment in general
    • G06F15/76—Architectures of general purpose stored program computers
    • G06F15/78—Architectures of general purpose stored program computers comprising a single central processing unit
    • G06F15/7807—System on chip, i.e. computer system on a single chip; System in package, i.e. computer system on one or more chips in a single package
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/94—Hardware or software architectures specially adapted for image or video understanding
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/94—Hardware or software architectures specially adapted for image or video understanding
    • G06V10/95—Hardware or software architectures specially adapted for image or video understanding structured as a network, e.g. client-server architectures
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Abstract

一种集成芯片(200)，属于人工智能领域，其特征在于，包括：第一处理器(221)，用于从第一外部传感器(211)获取第一传感器数据，并且从第一传感器数据中提取第一目标数据，第一处理器(221)为实时响应处理器；加速器(230)，用于根据第一神经网络模型对第一目标数据进行识别以得到第一识别结果，第一识别结果用于确定与第一识别结果对应的目标操作。还提供了一种处理传感器数据的方法，目的在于在实时响应外部传感器的情况下能够识别复杂场景，处理复杂任务。

Description

PCT国内申请，说明书已公开。

Claims (18)

  1. PCT国内申请，权利要求书已公开。
CN201980091752.4A 2019-07-31 2019-07-31 一种集成芯片以及处理传感器数据的方法 Active CN113490943B (zh)

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US11887647B2 (en) 2020-04-09 2024-01-30 Micron Technology, Inc. Deep learning accelerator and random access memory with separate memory access connections
US11355175B2 (en) * 2020-04-09 2022-06-07 Micron Technology, Inc. Deep learning accelerator and random access memory with a camera interface
IT202100012395A1 (it) * 2021-05-13 2022-11-13 St Microelectronics Srl Circuito controllore, sistema e procedimento corrispondenti
US20240028222A1 (en) * 2022-07-22 2024-01-25 Dell Products L.P. Sleep mode using shared memory between two processors of an information handling system

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EP3933664A1 (en) 2022-01-05
EP3933664A4 (en) 2022-04-06
CN116167422A (zh) 2023-05-26
US20220044043A1 (en) 2022-02-10
WO2021016931A1 (zh) 2021-02-04
CN116070684B (zh) 2023-10-20
CN113490943B (zh) 2023-03-10

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