GB2553055B - Vector computation unit in a neural network processor - Google Patents

Vector computation unit in a neural network processor Download PDF

Info

Publication number
GB2553055B
GB2553055B GB1715525.0A GB201715525A GB2553055B GB 2553055 B GB2553055 B GB 2553055B GB 201715525 A GB201715525 A GB 201715525A GB 2553055 B GB2553055 B GB 2553055B
Authority
GB
United Kingdom
Prior art keywords
neural network
network processor
computation unit
vector computation
vector
Prior art date
Legal status (The legal status 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 status listed.)
Active
Application number
GB1715525.0A
Other languages
English (en)
Other versions
GB201715525D0 (en
GB2553055A (en
Inventor
Luu Dan
Aaron Clark Christopher
Michael Thorson Gregory
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Google LLC
Original Assignee
Google LLC
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 Google LLC filed Critical Google LLC
Priority to GB2200642.3A priority Critical patent/GB2600290A/en
Publication of GB201715525D0 publication Critical patent/GB201715525D0/en
Publication of GB2553055A publication Critical patent/GB2553055A/en
Application granted granted Critical
Publication of GB2553055B publication Critical patent/GB2553055B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F5/00—Methods or arrangements for data conversion without changing the order or content of the data handled
    • G06F5/06—Methods or arrangements for data conversion without changing the order or content of the data handled for changing the speed of data flow, i.e. speed regularising or timing, e.g. delay lines, FIFO buffers; over- or underrun control therefor
    • G06F5/08—Methods or arrangements for data conversion without changing the order or content of the data handled for changing the speed of data flow, i.e. speed regularising or timing, e.g. delay lines, FIFO buffers; over- or underrun control therefor having a sequence of storage locations, the intermediate ones not being accessible for either enqueue or dequeue operations, e.g. using a shift register
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F7/38—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation
    • G06F7/48—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using non-contact-making devices, e.g. tube, solid state device; using unspecified devices
    • G06F7/544—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using non-contact-making devices, e.g. tube, solid state device; using unspecified devices for evaluating functions by calculation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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
    • G06N3/048—Activation functions
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06N3/0499—Feedforward networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/10—Interfaces, programming languages or software development kits, e.g. for simulating neural networks
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Neurology (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Computational Mathematics (AREA)
  • Complex Calculations (AREA)
  • Advance Control (AREA)
  • Multi Processors (AREA)
  • Algebra (AREA)
  • Databases & Information Systems (AREA)
  • Image Processing (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)
  • Image Analysis (AREA)
GB1715525.0A 2015-05-21 2016-04-29 Vector computation unit in a neural network processor Active GB2553055B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
GB2200642.3A GB2600290A (en) 2015-05-21 2016-04-29 Vector computation unit in a neural network processor

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201562165022P 2015-05-21 2015-05-21
US14/845,117 US10192162B2 (en) 2015-05-21 2015-09-03 Vector computation unit in a neural network processor
PCT/US2016/029986 WO2016186813A1 (en) 2015-05-21 2016-04-29 Vector computation unit in a neural network processor

Publications (3)

Publication Number Publication Date
GB201715525D0 GB201715525D0 (en) 2017-11-08
GB2553055A GB2553055A (en) 2018-02-21
GB2553055B true GB2553055B (en) 2022-05-11

Family

ID=56069218

Family Applications (2)

Application Number Title Priority Date Filing Date
GB1715525.0A Active GB2553055B (en) 2015-05-21 2016-04-29 Vector computation unit in a neural network processor
GB2200642.3A Withdrawn GB2600290A (en) 2015-05-21 2016-04-29 Vector computation unit in a neural network processor

Family Applications After (1)

Application Number Title Priority Date Filing Date
GB2200642.3A Withdrawn GB2600290A (en) 2015-05-21 2016-04-29 Vector computation unit in a neural network processor

Country Status (11)

Country Link
US (5) US10192162B2 (https=)
EP (2) EP3298545B1 (https=)
JP (4) JP6615902B2 (https=)
KR (4) KR102379700B1 (https=)
CN (2) CN107533667B (https=)
DE (2) DE202016107442U1 (https=)
DK (1) DK3298545T3 (https=)
FI (1) FI3298545T3 (https=)
GB (2) GB2553055B (https=)
TW (2) TWI591490B (https=)
WO (1) WO2016186813A1 (https=)

Families Citing this family (90)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10192162B2 (en) 2015-05-21 2019-01-29 Google Llc Vector computation unit in a neural network processor
GB201607713D0 (en) * 2016-05-03 2016-06-15 Imagination Tech Ltd Convolutional neural network
KR102835519B1 (ko) * 2016-09-28 2025-07-17 에스케이하이닉스 주식회사 합성곱 신경망의 연산 장치 및 방법
US10032110B2 (en) * 2016-12-13 2018-07-24 Google Llc Performing average pooling in hardware
US10037490B2 (en) * 2016-12-13 2018-07-31 Google Llc Performing average pooling in hardware
US10521488B1 (en) 2016-12-30 2019-12-31 X Development Llc Dynamic partitioning
JP6740920B2 (ja) * 2017-02-01 2020-08-19 株式会社デンソー 演算処理装置
CA3108151C (en) 2017-02-23 2024-02-20 Cerebras Systems Inc. Accelerated deep learning
US10896367B2 (en) 2017-03-07 2021-01-19 Google Llc Depth concatenation using a matrix computation unit
US10261786B2 (en) 2017-03-09 2019-04-16 Google Llc Vector processing unit
US10909447B2 (en) 2017-03-09 2021-02-02 Google Llc Transposing neural network matrices in hardware
US10108581B1 (en) 2017-04-03 2018-10-23 Google Llc Vector reduction processor
US11488004B2 (en) 2017-04-17 2022-11-01 Cerebras Systems Inc. Neuron smearing for accelerated deep learning
WO2018193380A1 (en) 2017-04-17 2018-10-25 Cerebras Systems Inc. Fabric vectors for deep learning acceleration
WO2018193352A1 (en) 2017-04-17 2018-10-25 Cerebras Systems Inc. Dataflow triggered tasks for accelerated deep learning
US10474458B2 (en) * 2017-04-28 2019-11-12 Intel Corporation Instructions and logic to perform floating-point and integer operations for machine learning
DE102018110607A1 (de) 2017-05-08 2018-11-08 Nvidia Corporation Verallgemeinerte Beschleunigung von Matrix-Multiplikations-und-Akkumulations-Operationen
US10338919B2 (en) * 2017-05-08 2019-07-02 Nvidia Corporation Generalized acceleration of matrix multiply accumulate operations
TWI858883B (zh) * 2017-05-17 2024-10-11 美商谷歌有限責任公司 低延遲矩陣乘法單元中之胞元、相關之方法及非暫時性電腦程式產品
WO2018213636A1 (en) * 2017-05-17 2018-11-22 Google Llc Performing matrix multiplication in hardware
EP3568756B1 (en) * 2017-05-17 2022-07-06 Google LLC Special purpose neural network training chip
CN107146616B (zh) * 2017-06-13 2020-05-08 Oppo广东移动通信有限公司 设备控制方法及相关产品
CN109284821B (zh) * 2017-07-19 2022-04-12 华为技术有限公司 一种神经网络运算装置
US11157441B2 (en) 2017-07-24 2021-10-26 Tesla, Inc. Computational array microprocessor system using non-consecutive data formatting
US11893393B2 (en) 2017-07-24 2024-02-06 Tesla, Inc. Computational array microprocessor system with hardware arbiter managing memory requests
US10671349B2 (en) 2017-07-24 2020-06-02 Tesla, Inc. Accelerated mathematical engine
US11157287B2 (en) 2017-07-24 2021-10-26 Tesla, Inc. Computational array microprocessor system with variable latency memory access
US11409692B2 (en) * 2017-07-24 2022-08-09 Tesla, Inc. Vector computational unit
TWI653584B (zh) 2017-09-15 2019-03-11 中原大學 利用非揮發性記憶體完成類神經網路訓練的方法
GB2568230B (en) * 2017-10-20 2020-06-03 Graphcore Ltd Processing in neural networks
KR102586173B1 (ko) 2017-10-31 2023-10-10 삼성전자주식회사 프로세서 및 그 제어 방법
KR102424962B1 (ko) 2017-11-15 2022-07-25 삼성전자주식회사 병렬 연산 처리를 수행하는 메모리 장치 및 이를 포함하는 메모리 모듈
US10599975B2 (en) 2017-12-15 2020-03-24 Uber Technologies, Inc. Scalable parameter encoding of artificial neural networks obtained via an evolutionary process
US11360930B2 (en) 2017-12-19 2022-06-14 Samsung Electronics Co., Ltd. Neural processing accelerator
US12307350B2 (en) * 2018-01-04 2025-05-20 Tesla, Inc. Systems and methods for hardware-based pooling
KR102637735B1 (ko) 2018-01-09 2024-02-19 삼성전자주식회사 근사 곱셈기를 구비하는 뉴럴 네트워크 처리 장치 및 이를 포함하는 시스템온 칩
CN108182471B (zh) * 2018-01-24 2022-02-15 上海岳芯电子科技有限公司 一种卷积神经网络推理加速器及方法
US11561791B2 (en) 2018-02-01 2023-01-24 Tesla, Inc. Vector computational unit receiving data elements in parallel from a last row of a computational array
US11164072B2 (en) 2018-02-08 2021-11-02 Western Digital Technologies, Inc. Convolution engines for systolic neural network processor
US11769042B2 (en) * 2018-02-08 2023-09-26 Western Digital Technologies, Inc. Reconfigurable systolic neural network engine
TWI659324B (zh) * 2018-02-14 2019-05-11 倍加科技股份有限公司 電路規劃結果產生方法與系統
US11907834B2 (en) 2018-02-14 2024-02-20 Deepmentor Inc Method for establishing data-recognition model
WO2019157599A1 (en) * 2018-02-16 2019-08-22 The Governing Council Of The University Of Toronto Neural network accelerator
CN110415157B (zh) * 2018-04-26 2024-01-30 华为技术有限公司 一种矩阵乘法的计算方法及装置
US11537838B2 (en) 2018-05-04 2022-12-27 Apple Inc. Scalable neural network processing engine
US11487846B2 (en) 2018-05-04 2022-11-01 Apple Inc. Performing multiply and accumulate operations in neural network processor
US10440341B1 (en) 2018-06-07 2019-10-08 Micron Technology, Inc. Image processor formed in an array of memory cells
US11501140B2 (en) * 2018-06-19 2022-11-15 International Business Machines Corporation Runtime reconfigurable neural network processor core
DE102018115902A1 (de) 2018-07-01 2020-01-02 Oliver Bartels SIMD-Prozessor mit CAM zur Operandenauswahl nach Mustererkennung
TWI667576B (zh) * 2018-07-09 2019-08-01 國立中央大學 機器學習方法及機器學習裝置
CN109273035B (zh) * 2018-08-02 2020-03-17 北京知存科技有限公司 闪存芯片的控制方法、终端
US11636319B2 (en) * 2018-08-22 2023-04-25 Intel Corporation Iterative normalization for machine learning applications
WO2020044152A1 (en) 2018-08-28 2020-03-05 Cerebras Systems Inc. Scaled compute fabric for accelerated deep learning
US11321087B2 (en) 2018-08-29 2022-05-03 Cerebras Systems Inc. ISA enhancements for accelerated deep learning
US11328208B2 (en) 2018-08-29 2022-05-10 Cerebras Systems Inc. Processor element redundancy for accelerated deep learning
KR102637733B1 (ko) 2018-10-31 2024-02-19 삼성전자주식회사 뉴럴 네트워크 프로세서 및 그것의 컨볼루션 연산 방법
JP7315317B2 (ja) 2018-11-09 2023-07-26 株式会社Preferred Networks プロセッサおよびプロセッサのデータ転送方法
CN111445020B (zh) * 2019-01-16 2023-05-23 阿里巴巴集团控股有限公司 一种基于图的卷积网络训练方法、装置及系统
US11188085B2 (en) * 2019-03-22 2021-11-30 Ford Global Technologies, Llc Vehicle capsule networks
US10929058B2 (en) 2019-03-25 2021-02-23 Western Digital Technologies, Inc. Enhanced memory device architecture for machine learning
US11783176B2 (en) 2019-03-25 2023-10-10 Western Digital Technologies, Inc. Enhanced storage device memory architecture for machine learning
US10733016B1 (en) 2019-04-26 2020-08-04 Google Llc Optimizing hardware FIFO instructions
US11853890B2 (en) * 2019-05-02 2023-12-26 Macronix International Co., Ltd. Memory device and operation method thereof
US11514300B2 (en) 2019-06-14 2022-11-29 Macronix International Co., Ltd. Resistor circuit, artificial intelligence chip and method for manufacturing the same
TWI698810B (zh) * 2019-06-14 2020-07-11 旺宏電子股份有限公司 類神經計算裝置
US11233049B2 (en) 2019-06-14 2022-01-25 Macronix International Co., Ltd. Neuromorphic computing device
KR102802339B1 (ko) 2019-07-31 2025-05-07 삼성전자주식회사 프로세서 및 그 제어 방법
CN110610235B (zh) * 2019-08-22 2022-05-13 北京时代民芯科技有限公司 一种神经网络激活函数计算电路
US11836624B2 (en) 2019-08-26 2023-12-05 D5Ai Llc Deep learning with judgment
US11829729B2 (en) 2019-09-05 2023-11-28 Micron Technology, Inc. Spatiotemporal fused-multiply-add, and related systems, methods and devices
US11693657B2 (en) 2019-09-05 2023-07-04 Micron Technology, Inc. Methods for performing fused-multiply-add operations on serially allocated data within a processing-in-memory capable memory device, and related memory devices and systems
US11934824B2 (en) 2019-09-05 2024-03-19 Micron Technology, Inc. Methods for performing processing-in-memory operations, and related memory devices and systems
WO2021074867A1 (en) 2019-10-16 2021-04-22 Cerebras Systems Inc. Advanced wavelet filtering for accelerated deep learning
WO2021074795A1 (en) 2019-10-16 2021-04-22 Cerebras Systems Inc. Dynamic routing for accelerated deep learning
KR102832728B1 (ko) * 2019-10-28 2025-07-10 삼성전자주식회사 뉴로모픽 패키지 장치 및 뉴로모픽 컴퓨팅 시스템
KR102357168B1 (ko) * 2019-10-30 2022-02-07 주식회사 뉴로메카 인공신경망을 이용한 로봇 매니퓰레이터의 충돌을 감지하는 방법 및 시스템
KR102139229B1 (ko) * 2019-10-30 2020-07-29 주식회사 뉴로메카 인공신경망을 이용한 로봇 매니퓰레이터의 충돌을 감지하는 방법 및 시스템
US11295206B2 (en) * 2020-02-07 2022-04-05 Google Llc Interleaving memory requests to accelerate memory accesses
KR102836069B1 (ko) * 2020-02-18 2025-07-18 에스케이하이닉스 주식회사 연산 회로 및 그것을 포함하는 딥 러닝 시스템
JP7475080B2 (ja) 2020-04-01 2024-04-26 義憲 岡島 曖昧検索回路
US11537861B2 (en) * 2020-06-23 2022-12-27 Micron Technology, Inc. Methods of performing processing-in-memory operations, and related devices and systems
KR20220078819A (ko) 2020-12-04 2022-06-13 삼성전자주식회사 딥러닝 연산 수행 방법 및 장치
CN114654884B (zh) * 2020-12-22 2023-06-06 精工爱普生株式会社 印刷条件设定方法、印刷条件设定系统
US20220277190A1 (en) * 2021-02-28 2022-09-01 Anaflash Inc. Neural network engine with associated memory array
US11544213B2 (en) 2021-03-04 2023-01-03 Samsung Electronics Co., Ltd. Neural processor
CN112992248A (zh) * 2021-03-12 2021-06-18 西安交通大学深圳研究院 一种基于fifo的可变长循环移位寄存器的pe计算单元结构
US11714556B2 (en) * 2021-09-14 2023-08-01 quadric.io, Inc. Systems and methods for accelerating memory transfers and computation efficiency using a computation-informed partitioning of an on-chip data buffer and implementing computation-aware data transfer operations to the on-chip data buffer
WO2023080291A1 (ko) * 2021-11-08 2023-05-11 한국전자기술연구원 딥러닝 가속기를 위한 풀링 장치
US20240211532A1 (en) * 2022-12-16 2024-06-27 International Business Machines Corporation Hardware for parallel layer-norm compute
US20240281644A1 (en) * 2023-02-22 2024-08-22 Macronix International Co., Ltd. Encoding method and encoding circuit

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0422348A2 (en) * 1989-10-10 1991-04-17 Hnc, Inc. Two-dimensional systolic array for neural networks, and method
US20070086655A1 (en) * 2005-10-14 2007-04-19 Microsoft Corporation Unfolded convolution for fast feature extraction
EP2259214A1 (en) * 2009-06-04 2010-12-08 Honda Research Institute Europe GmbH Implementing a neural associative memory based on non-linear learning of discrete synapses
US20110029471A1 (en) * 2009-07-30 2011-02-03 Nec Laboratories America, Inc. Dynamically configurable, multi-ported co-processor for convolutional neural networks
US20140180989A1 (en) * 2012-12-24 2014-06-26 Google Inc. System and method for parallelizing convolutional neural networks
US20140288928A1 (en) * 2013-03-25 2014-09-25 Gerald Bradley PENN System and method for applying a convolutional neural network to speech recognition
US20140337262A1 (en) * 2008-12-04 2014-11-13 Canon Kabushiki Kaisha Convolution operation circuit and object recognition apparatus
US20140344203A1 (en) * 2012-02-03 2014-11-20 Byungik Ahn Neural network computing apparatus and system, and method therefor
US8924455B1 (en) * 2011-02-25 2014-12-30 Xilinx, Inc. Multiplication of matrices using systolic arrays
GB2558271A (en) * 2016-12-23 2018-07-11 Imagination Tech Ltd Median determination

Family Cites Families (53)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3761876A (en) * 1971-07-28 1973-09-25 Recognition Equipment Inc Recognition unit for optical character reading system
US3777132A (en) * 1972-02-23 1973-12-04 Burroughs Corp Method and apparatus for obtaining the reciprocal of a number and the quotient of two numbers
FR2595891B1 (fr) * 1986-03-11 1988-06-10 Labo Electronique Physique Procede de renforcement des contours de signaux numeriques et dispositif de traitement pour la mise en oeuvre dudit procede
US4717807A (en) * 1986-12-11 1988-01-05 The Lincoln Electric Company Method and device for controlling a short circuiting type welding system
JPS63206828A (ja) 1987-02-23 1988-08-26 Mitsubishi Electric Corp 最大値ストレツチ回路
FR2624283B1 (fr) * 1987-12-08 1992-09-18 Thomson Csf Circuit integre de calcul numerique pour calculs glissants du type convolution
US5014235A (en) 1987-12-15 1991-05-07 Steven G. Morton Convolution memory
US5136717A (en) 1988-11-23 1992-08-04 Flavors Technology Inc. Realtime systolic, multiple-instruction, single-data parallel computer system
JP2703010B2 (ja) * 1988-12-23 1998-01-26 株式会社日立製作所 ニユーラルネツト信号処理プロセツサ
EP0411341A3 (en) * 1989-07-10 1992-05-13 Yozan Inc. Neural network
JP2756170B2 (ja) 1990-03-05 1998-05-25 日本電信電話株式会社 ニューラルネットワーク学習回路
US5337395A (en) 1991-04-08 1994-08-09 International Business Machines Corporation SPIN: a sequential pipeline neurocomputer
US5146543A (en) 1990-05-22 1992-09-08 International Business Machines Corp. Scalable neural array processor
JPH04290155A (ja) 1991-03-19 1992-10-14 Fujitsu Ltd 並列データ処理方式
US5519811A (en) * 1991-10-17 1996-05-21 Kawasaki Steel Corporation Neural network, processor, and pattern recognition apparatus
US5903454A (en) 1991-12-23 1999-05-11 Hoffberg; Linda Irene Human-factored interface corporating adaptive pattern recognition based controller apparatus
US5799134A (en) 1995-03-13 1998-08-25 Industrial Technology Research Institute One dimensional systolic array architecture for neural network
US5812993A (en) 1996-03-07 1998-09-22 Technion Research And Development Foundation Ltd. Digital hardware architecture for realizing neural network
US6038337A (en) 1996-03-29 2000-03-14 Nec Research Institute, Inc. Method and apparatus for object recognition
US5809341A (en) * 1996-03-29 1998-09-15 Nimishakvi; Hanumanthrao V. Circuit for transmitting received character when detection signal is not activated and transmitting substitute character when the detection signal is activated
JPH11177399A (ja) 1997-12-15 1999-07-02 Mitsubishi Electric Corp クロック遅延回路およびこれを用いた発振回路、位相同期回路、クロック生成回路
US6208963B1 (en) * 1998-06-24 2001-03-27 Tony R. Martinez Method and apparatus for signal classification using a multilayer network
GB9902115D0 (en) 1999-02-01 1999-03-24 Axeon Limited Neural networks
US7054850B2 (en) * 2000-06-16 2006-05-30 Canon Kabushiki Kaisha Apparatus and method for detecting or recognizing pattern by employing a plurality of feature detecting elements
JP3613466B2 (ja) * 2001-04-06 2005-01-26 旭化成株式会社 データ演算処理装置及びデータ演算処理プログラム
US20030076992A1 (en) * 2001-06-26 2003-04-24 Banish Michele R. Neural network based element, image pre-processor, and method of pre-processing using a neural network
US7245767B2 (en) 2003-08-21 2007-07-17 Hewlett-Packard Development Company, L.P. Method and apparatus for object identification, classification or verification
US7693585B2 (en) 2004-09-30 2010-04-06 Rockwell Automation Technologies, Inc. Enabling object oriented capabilities in automation systems
WO2008067676A1 (en) 2006-12-08 2008-06-12 Medhat Moussa Architecture, system and method for artificial neural network implementation
US8184696B1 (en) 2007-09-11 2012-05-22 Xilinx, Inc. Method and apparatus for an adaptive systolic array structure
TWI525558B (zh) 2011-01-17 2016-03-11 Univ Nat Taipei Technology Resilient high - speed hardware reverse transfer and feedback type neural network system
TW201331855A (zh) 2012-01-19 2013-08-01 Univ Nat Taipei Technology 具自由回饋節點的高速硬體倒傳遞及回饋型類神經網路
JP5834997B2 (ja) 2012-02-23 2015-12-24 株式会社ソシオネクスト ベクトルプロセッサ、ベクトルプロセッサの処理方法
CN102665049B (zh) * 2012-03-29 2014-09-17 中国科学院半导体研究所 基于可编程视觉芯片的视觉图像处理系统
US9081608B2 (en) 2012-05-19 2015-07-14 Digital System Research Inc. Residue number arithmetic logic unit
EP3193332B1 (en) * 2012-07-12 2020-09-02 Nokia Technologies Oy Vector quantization
US9477925B2 (en) 2012-11-20 2016-10-25 Microsoft Technology Licensing, Llc Deep neural networks training for speech and pattern recognition
US20140280989A1 (en) 2013-03-14 2014-09-18 Thomas J. Borkowski System and method for establishing peer to peer connections through symmetric nats
KR20150016089A (ko) * 2013-08-02 2015-02-11 안병익 신경망 컴퓨팅 장치 및 시스템과 그 방법
JP6107531B2 (ja) 2013-08-15 2017-04-05 富士ゼロックス株式会社 特徴抽出プログラム及び情報処理装置
US9202144B2 (en) * 2013-10-30 2015-12-01 Nec Laboratories America, Inc. Regionlets with shift invariant neural patterns for object detection
JP6236296B2 (ja) * 2013-11-14 2017-11-22 株式会社デンソーアイティーラボラトリ 学習装置、学習プログラム、及び学習方法
US9978014B2 (en) * 2013-12-18 2018-05-22 Intel Corporation Reconfigurable processing unit
JP6314628B2 (ja) * 2014-04-28 2018-04-25 株式会社デンソー 演算処理装置
CN104035751B (zh) 2014-06-20 2016-10-12 深圳市腾讯计算机系统有限公司 基于多图形处理器的数据并行处理方法及装置
CN104485715B (zh) * 2014-12-29 2017-05-03 江苏科技大学 一种智能池化装置及其方法
US9886948B1 (en) * 2015-01-05 2018-02-06 Amazon Technologies, Inc. Neural network processing of multiple feature streams using max pooling and restricted connectivity
EP3064130A1 (en) 2015-03-02 2016-09-07 MindMaze SA Brain activity measurement and feedback system
US20160267111A1 (en) 2015-03-11 2016-09-15 Microsoft Technology Licensing, Llc Two-stage vector reduction using two-dimensional and one-dimensional systolic arrays
US10102481B2 (en) * 2015-03-16 2018-10-16 Conduent Business Services, Llc Hybrid active learning for non-stationary streaming data with asynchronous labeling
US9552510B2 (en) * 2015-03-18 2017-01-24 Adobe Systems Incorporated Facial expression capture for character animation
CN107430678A (zh) * 2015-03-27 2017-12-01 英特尔公司 使用高斯接收场特征的低成本面部识别
US10192162B2 (en) 2015-05-21 2019-01-29 Google Llc Vector computation unit in a neural network processor

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0422348A2 (en) * 1989-10-10 1991-04-17 Hnc, Inc. Two-dimensional systolic array for neural networks, and method
US20070086655A1 (en) * 2005-10-14 2007-04-19 Microsoft Corporation Unfolded convolution for fast feature extraction
US20140337262A1 (en) * 2008-12-04 2014-11-13 Canon Kabushiki Kaisha Convolution operation circuit and object recognition apparatus
EP2259214A1 (en) * 2009-06-04 2010-12-08 Honda Research Institute Europe GmbH Implementing a neural associative memory based on non-linear learning of discrete synapses
US20110029471A1 (en) * 2009-07-30 2011-02-03 Nec Laboratories America, Inc. Dynamically configurable, multi-ported co-processor for convolutional neural networks
US8924455B1 (en) * 2011-02-25 2014-12-30 Xilinx, Inc. Multiplication of matrices using systolic arrays
US20140344203A1 (en) * 2012-02-03 2014-11-20 Byungik Ahn Neural network computing apparatus and system, and method therefor
US20140180989A1 (en) * 2012-12-24 2014-06-26 Google Inc. System and method for parallelizing convolutional neural networks
US20140288928A1 (en) * 2013-03-25 2014-09-25 Gerald Bradley PENN System and method for applying a convolutional neural network to speech recognition
GB2558271A (en) * 2016-12-23 2018-07-11 Imagination Tech Ltd Median determination

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Alex Krizhevsky ET AL:"ImageNetclassification with deep convolutionalneuralnetworks",The 26th annualconference on NeuralInformation Processing Systems(NIPS'25):3-8 December 2012,6 December 2012(2012-12-06), XP055113686,Retrieved from the Internet:URL:http://books.nips.cc *
S. KUNG: "VLSI Array processors", IEEE ASSP MAGAZINE, IEEE, US, vol. 2, no. 3, 1 July 1985 (1985-07-01), US , pages 4 - 22, XP011370547, ISSN: 0740-7467, DOI: 10.1109/MASSP.1985.1163741 *

Also Published As

Publication number Publication date
GB2600290A (en) 2022-04-27
GB201715525D0 (en) 2017-11-08
JP7566105B2 (ja) 2024-10-11
TW201729124A (zh) 2017-08-16
WO2016186813A1 (en) 2016-11-24
CN107533667B (zh) 2021-07-13
DE112016002296T5 (de) 2018-02-15
EP3298545B1 (en) 2023-10-25
TW201706873A (zh) 2017-02-16
US10074051B2 (en) 2018-09-11
KR20170126997A (ko) 2017-11-20
JP7000387B2 (ja) 2022-01-19
CN113392964B (zh) 2024-10-29
DE202016107442U1 (de) 2017-01-18
US20190228301A1 (en) 2019-07-25
KR102705474B1 (ko) 2024-09-09
JP2022000782A (ja) 2022-01-04
KR102379700B1 (ko) 2022-03-25
US12014272B2 (en) 2024-06-18
HK1245954A1 (zh) 2018-08-31
US20230206070A1 (en) 2023-06-29
US10192162B2 (en) 2019-01-29
TWI638272B (zh) 2018-10-11
CN107533667A (zh) 2018-01-02
EP4276690A1 (en) 2023-11-15
JP2020017281A (ja) 2020-01-30
US11620508B2 (en) 2023-04-04
EP3298545A1 (en) 2018-03-28
US20160342889A1 (en) 2016-11-24
DK3298545T3 (da) 2024-01-02
KR20200077614A (ko) 2020-06-30
JP7346510B2 (ja) 2023-09-19
TWI591490B (zh) 2017-07-11
KR102516092B1 (ko) 2023-03-29
GB2553055A (en) 2018-02-21
CN113392964A (zh) 2021-09-14
JP2018518731A (ja) 2018-07-12
US20170103315A1 (en) 2017-04-13
US20240273368A1 (en) 2024-08-15
KR20230048449A (ko) 2023-04-11
JP6615902B2 (ja) 2019-12-04
FI3298545T3 (fi) 2024-01-11
JP2023169224A (ja) 2023-11-29
KR20220041962A (ko) 2022-04-01
US12277499B2 (en) 2025-04-15
KR102127524B1 (ko) 2020-06-26

Similar Documents

Publication Publication Date Title
GB2553055B (en) Vector computation unit in a neural network processor
GB2553052B (en) Prefetching weights for use in a neural network processor
IL273686B (en) Improved algorithms in tactile sense-based systems
GB2553053B (en) Batch processing in a neural network processor
GB2560400B (en) Vector processing unit
IL248708A0 (en) A system for creating a spray containing a multipurpose computing device
GB201809025D0 (en) Determining orders of execution of a neural network
ZA201605470B (en) Architectural mode configuration in a computing system
HUE036080T2 (hu) Támogatott készülék rendelkezésre bocsátás egy hálózatban
GB2553783B (en) Vector multiply-add instruction
IL248770B (en) trading system
ZA201902904B (en) Enabling multiple numerologies in a network
GB201519303D0 (en) Phagemid vector
GB201708187D0 (en) Facial exercise system
EP3241155A4 (en) Exposure computation via depth-based computational photography
GB2540943B (en) Vector arithmetic instruction
GB201509175D0 (en) Location estimation in a communication network
GB201511520D0 (en) Secure computation
GB201608404D0 (en) A processor
GB2528443B (en) Checking arithmetic computations
HK40072524B (en) Batch processing in a neural network processor
HK40072524A (zh) 神经网络处理器中的批处理
GB201513862D0 (en) Performing a comparison computation in a computer system
GB201408172D0 (en) Phase based computational memory in a neural network, and systems and methods therefor