WO2021068247A8 - 神经网络调度方法、装置、计算机设备及可读存储介质 - Google Patents

神经网络调度方法、装置、计算机设备及可读存储介质 Download PDF

Info

Publication number
WO2021068247A8
WO2021068247A8 PCT/CN2019/110823 CN2019110823W WO2021068247A8 WO 2021068247 A8 WO2021068247 A8 WO 2021068247A8 CN 2019110823 W CN2019110823 W CN 2019110823W WO 2021068247 A8 WO2021068247 A8 WO 2021068247A8
Authority
WO
WIPO (PCT)
Prior art keywords
neural network
base address
storage area
network model
computer device
Prior art date
Application number
PCT/CN2019/110823
Other languages
English (en)
French (fr)
Other versions
WO2021068247A1 (zh
Inventor
黄炯凯
蔡权雄
牛昕宇
Original Assignee
深圳鲲云信息科技有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳鲲云信息科技有限公司 filed Critical 深圳鲲云信息科技有限公司
Priority to CN201980066984.4A priority Critical patent/CN113196232A/zh
Priority to PCT/CN2019/110823 priority patent/WO2021068247A1/zh
Priority to US17/768,241 priority patent/US20230273826A1/en
Publication of WO2021068247A1 publication Critical patent/WO2021068247A1/zh
Publication of WO2021068247A8 publication Critical patent/WO2021068247A8/zh

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
    • 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
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • 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
    • G06N3/08—Learning methods

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Neurology (AREA)
  • Image Analysis (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

一种神经网络调度方法、装置、计算机设备及存储介质，该方法包括：将至少一个预训练好的神经网络模型加载到内存中的模型存储区，并获取所述神经网络模型的基地址，所述内存还包括公共数据存储区（101）；根据任务类型获取对应的所述神经网络模型的基地址，并读取所述公共数据存储区内的数据（102）；基于所述基地址调用对应的神经网络模型对所述数据进行计算，得到计算结果并输出（103）。该方法将神经网络预先加载到内存中并获得相应的基地址，调用上述基地址对应的多个神经网络对数据进行计算，并将中间结果放入一个公共数据存储区，可以减少额外的神经网络计算设备的成本，提高硬件资源的利用率。
PCT/CN2019/110823 2019-10-12 2019-10-12 神经网络调度方法、装置、计算机设备及可读存储介质 WO2021068247A1 (zh)

Priority Applications (3)

Application Number Priority Date Filing Date Title
CN201980066984.4A CN113196232A (zh) 2019-10-12 2019-10-12 神经网络调度方法、装置、计算机设备及可读存储介质
PCT/CN2019/110823 WO2021068247A1 (zh) 2019-10-12 2019-10-12 神经网络调度方法、装置、计算机设备及可读存储介质
US17/768,241 US20230273826A1 (en) 2019-10-12 2019-10-12 Neural network scheduling method and apparatus, computer device, and readable storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2019/110823 WO2021068247A1 (zh) 2019-10-12 2019-10-12 神经网络调度方法、装置、计算机设备及可读存储介质

Publications (2)

Publication Number Publication Date
WO2021068247A1 WO2021068247A1 (zh) 2021-04-15
WO2021068247A8 true WO2021068247A8 (zh) 2021-05-14

Family

ID=75437683

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2019/110823 WO2021068247A1 (zh) 2019-10-12 2019-10-12 神经网络调度方法、装置、计算机设备及可读存储介质

Country Status (3)

Country Link
US (1) US20230273826A1 (zh)
CN (1) CN113196232A (zh)
WO (1) WO2021068247A1 (zh)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115860049B (zh) * 2023-03-02 2023-05-05 瀚博半导体(上海)有限公司 一种数据调度方法和设备
CN115982110B (zh) * 2023-03-21 2023-08-29 北京探境科技有限公司 文件运行方法、装置、计算机设备及可读存储介质

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106355244B (zh) * 2016-08-30 2019-08-13 深圳市诺比邻科技有限公司 卷积神经网络的构建方法及***
CN106548179B (zh) * 2016-09-29 2019-09-17 北京市商汤科技开发有限公司 物体和服饰关键点的检测方法、装置和电子设备
CN107885762B (zh) * 2017-09-19 2021-06-11 北京百度网讯科技有限公司 智能大数据***、提供智能大数据服务的方法和设备
CN110363279B (zh) * 2018-03-26 2021-09-21 华为技术有限公司 基于卷积神经网络模型的图像处理方法和装置
CN110222752B (zh) * 2019-05-28 2021-11-16 北京金山数字娱乐科技有限公司 图像处理方法、***、计算机设备、存储介质和芯片
CN110276320A (zh) * 2019-06-26 2019-09-24 杭州创匠信息科技有限公司 基于人脸识别的门禁方法、装置、设备和存储介质

Also Published As

Publication number Publication date
WO2021068247A1 (zh) 2021-04-15
CN113196232A (zh) 2021-07-30
US20230273826A1 (en) 2023-08-31

Similar Documents

Publication Publication Date Title
US11176448B2 (en) Enhancing processing performance of a DNN module by bandwidth control of fabric interface
WO2019153908A1 (zh) 基于注意力模型的图像识别方法和***
US11580441B2 (en) Model training method and apparatus
US11586473B2 (en) Methods and apparatus for allocating a workload to an accelerator using machine learning
US9081623B1 (en) Service resource allocation
US11087203B2 (en) Method and apparatus for processing data sequence
CN107679856B (zh) 基于交易的业务控制方法和装置
CN109257294A (zh) 基于redis的服务动态降级方法、装置、服务器及存储介质
WO2021068247A8 (zh) 神经网络调度方法、装置、计算机设备及可读存储介质
CN104504147A (zh) 一种数据库集群的资源协调方法、装置及***
CN110572416A (zh) 黑名单生成方法、装置、电子设备及介质
CN109857565A (zh) 数据处理方法、装置、计算机设备及存储介质
Tiwari et al. Service adaptive broking mechanism using MROSP algorithm
WO2021092634A3 (en) Acceleration of gpus in cloud computing
CN110569984A (zh) 配置信息生成方法、装置、设备及存储介质
CN109213745B (zh) 一种分布式文件存储方法、装置、处理器及存储介质
CN109948803A (zh) 算法模型优化方法、装置和设备
CN110796591A (zh) 一种gpu卡的使用方法及相关设备
CN109992652A (zh) 一种信息回复方法、装置、设备及存储介质
CN107395663B (zh) 数据获取方法及装置
Mittal et al. Cloud testing-the future of contemporary software testing
CN108763107A (zh) 后台写盘流控方法、装置、电子设备及存储介质
US20210224632A1 (en) Methods, devices, chips, electronic apparatuses, and storage media for processing data
US20180196653A1 (en) Methods for adaptive placement of applications and devices thereof
CN107766216A (zh) 一种用于获取应用执行信息的方法与设备

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 19948243

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205 DATED 19/09/2022)

122 Ep: pct application non-entry in european phase

Ref document number: 19948243

Country of ref document: EP

Kind code of ref document: A1