CN113261015A - 神经网络系统及数据处理技术 - Google Patents

神经网络系统及数据处理技术 Download PDF

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Publication number
CN113261015A
CN113261015A CN201880100568.7A CN201880100568A CN113261015A CN 113261015 A CN113261015 A CN 113261015A CN 201880100568 A CN201880100568 A CN 201880100568A CN 113261015 A CN113261015 A CN 113261015A
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neural network
layer
data
output data
computing
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刘哲
曾重
王铁英
段小祥
张慧敏
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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
    • 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
    • G06N3/065—Analogue means
    • 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

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Abstract

本申请提供了一种神经网络系统及数据处理方法。所述神经网络系统包括用于执行第一神经网络层操作的P个计算单元以及用于执行第二神经网络层操作的Q个计算单元。所述P个计算单元用于在接收第一输入数据后，根据配置的N个第一权重对所述第一输入数据执行计算以得到第一输出数据。所述Q个用于在接收第二输入数据后，根据配置的M个第二权重对所述第二输入数据执行计算以得到第二输出数据。其中，所述第二输入数据包括所述第一输出数据。N和M的比值与所述第一输出数据的数据量与所述第二输出数据的数据量的比值对应。本申请提供的神经网络系统能够应用于人工智能领域，提升神经网络系统的数据处理效率。

Description

PCT国内申请，说明书已公开。

Claims (12)

  1. PCT国内申请，权利要求书已公开。
CN201880100568.7A 2018-12-29 2018-12-29 神经网络系统及数据处理技术 Pending CN113261015A (zh)

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PCT/CN2018/125761 WO2020133463A1 (zh) 2018-12-29 2018-12-29 神经网络系统及数据处理技术

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US (1) US20210326687A1 (zh)
EP (1) EP3889844A4 (zh)
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WO (1) WO2020133463A1 (zh)

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US11681903B2 (en) * 2019-10-31 2023-06-20 Micron Technology, Inc. Spike detection in memristor crossbar array implementations of spiking neural networks
CN110807519B (zh) * 2019-11-07 2023-01-17 清华大学 基于忆阻器的神经网络的并行加速方法及处理器、装置
US11668797B2 (en) 2019-12-18 2023-06-06 Micron Technology, Inc. Intelligent radar electronic control units in autonomous vehicles
US11947359B2 (en) 2020-02-14 2024-04-02 Micron Technology, Inc. Intelligent lidar sensors for autonomous vehicles

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WO2017171771A1 (en) * 2016-03-31 2017-10-05 Hewlett Packard Enterprise Development Lp Data processing using resistive memory arrays
KR20180034853A (ko) * 2016-09-28 2018-04-05 에스케이하이닉스 주식회사 합성곱 신경망의 연산 장치 및 방법
US10096134B2 (en) * 2017-02-01 2018-10-09 Nvidia Corporation Data compaction and memory bandwidth reduction for sparse neural networks
CN107085562B (zh) * 2017-03-23 2020-11-03 中国科学院计算技术研究所 一种基于高效复用数据流的神经网络处理器及设计方法
US10838910B2 (en) * 2017-04-27 2020-11-17 Falcon Computing Systems and methods for systolic array design from a high-level program
CN108470009B (zh) * 2018-03-19 2020-05-29 上海兆芯集成电路有限公司 处理电路及其神经网络运算方法

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EP3889844A1 (en) 2021-10-06
US20210326687A1 (en) 2021-10-21
WO2020133463A1 (zh) 2020-07-02

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