BR112017026917A2 - ?método e dispositivo para processamento de rede neural convolucional cnn e mídia de armazenamento não volátil? - Google Patents
?método e dispositivo para processamento de rede neural convolucional cnn e mídia de armazenamento não volátil?Info
- Publication number
- BR112017026917A2 BR112017026917A2 BR112017026917-1A BR112017026917A BR112017026917A2 BR 112017026917 A2 BR112017026917 A2 BR 112017026917A2 BR 112017026917 A BR112017026917 A BR 112017026917A BR 112017026917 A2 BR112017026917 A2 BR 112017026917A2
- Authority
- BR
- Brazil
- Prior art keywords
- module
- asic
- cnn
- intensity
- arithmetic device
- Prior art date
Links
- 238000003672 processing method Methods 0.000 title 1
Classifications
-
- 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
-
- 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
- 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
- G06F9/5044—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 considering hardware capabilities
-
- 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
-
- 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
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0464—Convolutional networks [CNN, ConvNet]
-
- 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
- G06N3/084—Backpropagation, e.g. using gradient descent
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2209/00—Indexing scheme relating to G06F9/00
- G06F2209/50—Indexing scheme relating to G06F9/50
- G06F2209/501—Performance criteria
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- 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
Abstract
trata-se de um método e um dispositivo para processamento de cnn para uso na realização de computação de módulo por um modelo de cnn em um asic e para garantir desempenho computacional de cnn e custos de computação menores. o método compreende: adquirir um tipo de intensidade de um primeiro módulo em um modelo de cnn (101); caso o tipo de intensidade do primeiro módulo seja uma intensidade computacional, instalar o primeiro módulo em um asic e adquirir uma pluralidade de recursos de dispositivo aritméticos do asic ocupados pelo primeiro módulo (102); combinar os mesmos recursos de dispositivo aritméticos da pluralidade de recursos de dispositivo aritméticos do asic ocupados pelo primeiro módulo de modo a adquirir um primeiro módulo de recurso combinado (103); e operar o primeiro módulo de recurso combinado no asic (104).
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610017755.1 | 2016-01-12 | ||
CN201610017755.1A CN105678379B (zh) | 2016-01-12 | 2016-01-12 | 一种cnn的处理方法和装置 |
PCT/CN2017/070628 WO2017121297A1 (zh) | 2016-01-12 | 2017-01-09 | Cnn的处理方法和装置 |
Publications (1)
Publication Number | Publication Date |
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BR112017026917A2 true BR112017026917A2 (pt) | 2018-08-14 |
Family
ID=56300134
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
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BR112017026917-1A BR112017026917A2 (pt) | 2016-01-12 | 2017-01-09 | ?método e dispositivo para processamento de rede neural convolucional cnn e mídia de armazenamento não volátil? |
Country Status (10)
Country | Link |
---|---|
US (1) | US11151442B2 (pt) |
EP (1) | EP3404587B1 (pt) |
JP (1) | JP6507271B2 (pt) |
KR (1) | KR102192468B1 (pt) |
CN (1) | CN105678379B (pt) |
BR (1) | BR112017026917A2 (pt) |
CA (1) | CA2987325C (pt) |
MY (1) | MY188759A (pt) |
SG (1) | SG11201709689PA (pt) |
WO (1) | WO2017121297A1 (pt) |
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CN105678379B (zh) | 2016-01-12 | 2020-08-07 | 腾讯科技(深圳)有限公司 | 一种cnn的处理方法和装置 |
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KR20180034853A (ko) * | 2016-09-28 | 2018-04-05 | 에스케이하이닉스 주식회사 | 합성곱 신경망의 연산 장치 및 방법 |
US10733505B2 (en) * | 2016-11-10 | 2020-08-04 | Google Llc | Performing kernel striding in hardware |
CN108205700B (zh) * | 2016-12-20 | 2021-07-30 | 上海寒武纪信息科技有限公司 | 神经网络运算装置和方法 |
US11238334B2 (en) | 2017-04-04 | 2022-02-01 | Hailo Technologies Ltd. | System and method of input alignment for efficient vector operations in an artificial neural network |
US10387298B2 (en) | 2017-04-04 | 2019-08-20 | Hailo Technologies Ltd | Artificial neural network incorporating emphasis and focus techniques |
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CN107491809B (zh) * | 2017-08-21 | 2020-10-16 | 苏州浪潮智能科技有限公司 | 一种fpga实现残差网络中激活函数的方法 |
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JP6574004B2 (ja) * | 2018-01-25 | 2019-09-11 | 株式会社モルフォ | 計算手法決定システム、計算手法決定装置、処理装置、計算手法決定方法、処理方法、計算手法決定プログラム、及び、処理プログラム |
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CN108805285B (zh) * | 2018-05-30 | 2022-03-29 | 山东浪潮科学研究院有限公司 | 一种卷积神经网络池化单元设计方法 |
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CN109165736B (zh) * | 2018-08-08 | 2023-12-12 | 北京字节跳动网络技术有限公司 | 应用于卷积神经网络的信息处理方法和装置 |
KR101984730B1 (ko) * | 2018-10-23 | 2019-06-03 | (주) 글루시스 | 서버 장애 자동 예측 시스템 및 자동 예측 방법 |
CN111488216B (zh) * | 2019-01-28 | 2024-04-30 | 北京灵汐科技有限公司 | 一种数据处理的方法、装置及电子设备 |
CN110032374B (zh) * | 2019-03-21 | 2023-04-07 | 深兰科技(上海)有限公司 | 一种参数提取方法、装置、设备及介质 |
CN110555519B (zh) * | 2019-10-08 | 2023-07-28 | 东南大学 | 一种基于符号随机计算的低复杂度卷积神经网络架构 |
CN111767059B (zh) * | 2020-06-30 | 2023-03-31 | 北京百度网讯科技有限公司 | 深度学习模型的部署方法、装置、电子设备和存储介质 |
CN111915016B (zh) * | 2020-07-10 | 2022-03-25 | 深圳云天励飞技术股份有限公司 | 一种基于tvm编译器的异构平台的部署方法及装置 |
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2016
- 2016-01-12 CN CN201610017755.1A patent/CN105678379B/zh active Active
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2017
- 2017-01-09 JP JP2017564718A patent/JP6507271B2/ja active Active
- 2017-01-09 SG SG11201709689PA patent/SG11201709689PA/en unknown
- 2017-01-09 CA CA2987325A patent/CA2987325C/en active Active
- 2017-01-09 MY MYPI2017704511A patent/MY188759A/en unknown
- 2017-01-09 BR BR112017026917-1A patent/BR112017026917A2/pt active Search and Examination
- 2017-01-09 WO PCT/CN2017/070628 patent/WO2017121297A1/zh active Application Filing
- 2017-01-09 KR KR1020177035657A patent/KR102192468B1/ko active IP Right Grant
- 2017-01-09 EP EP17738111.8A patent/EP3404587B1/en active Active
- 2017-11-27 US US15/822,627 patent/US11151442B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
CN105678379A (zh) | 2016-06-15 |
EP3404587A4 (en) | 2019-10-30 |
US11151442B2 (en) | 2021-10-19 |
CN105678379B (zh) | 2020-08-07 |
WO2017121297A1 (zh) | 2017-07-20 |
MY188759A (en) | 2021-12-29 |
EP3404587B1 (en) | 2023-11-01 |
EP3404587A1 (en) | 2018-11-21 |
SG11201709689PA (en) | 2017-12-28 |
KR20180005241A (ko) | 2018-01-15 |
CA2987325C (en) | 2019-10-22 |
US20180082175A1 (en) | 2018-03-22 |
CA2987325A1 (en) | 2017-07-20 |
JP6507271B2 (ja) | 2019-04-24 |
JP2018526714A (ja) | 2018-09-13 |
KR102192468B1 (ko) | 2020-12-17 |
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