CN107533667B - 神经网络处理器中的向量计算单元 - Google Patents
神经网络处理器中的向量计算单元 Download PDFInfo
- Publication number
- CN107533667B CN107533667B CN201680019810.9A CN201680019810A CN107533667B CN 107533667 B CN107533667 B CN 107533667B CN 201680019810 A CN201680019810 A CN 201680019810A CN 107533667 B CN107533667 B CN 107533667B
- Authority
- CN
- China
- Prior art keywords
- circuit
- activation
- normalization
- values
- value
- 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
Links
Images
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)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110718015.1A CN113392964B (zh) | 2015-05-21 | 2016-04-29 | 神经网络处理器中的向量计算单元 |
Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201562165022P | 2015-05-21 | 2015-05-21 | |
| US62/165,022 | 2015-05-21 | ||
| US14/845,117 US10192162B2 (en) | 2015-05-21 | 2015-09-03 | Vector computation unit in a neural network processor |
| US14/845,117 | 2015-09-03 | ||
| PCT/US2016/029986 WO2016186813A1 (en) | 2015-05-21 | 2016-04-29 | Vector computation unit in a neural network processor |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110718015.1A Division CN113392964B (zh) | 2015-05-21 | 2016-04-29 | 神经网络处理器中的向量计算单元 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107533667A CN107533667A (zh) | 2018-01-02 |
| CN107533667B true CN107533667B (zh) | 2021-07-13 |
Family
ID=56069218
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201680019810.9A Active CN107533667B (zh) | 2015-05-21 | 2016-04-29 | 神经网络处理器中的向量计算单元 |
| CN202110718015.1A Active CN113392964B (zh) | 2015-05-21 | 2016-04-29 | 神经网络处理器中的向量计算单元 |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110718015.1A Active CN113392964B (zh) | 2015-05-21 | 2016-04-29 | 神经网络处理器中的向量计算单元 |
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)
| 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 (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5799134A (en) * | 1995-03-13 | 1998-08-25 | Industrial Technology Research Institute | One dimensional systolic array architecture for neural network |
| CN102665049A (zh) * | 2012-03-29 | 2012-09-12 | 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 |
| CN104145281A (zh) * | 2012-02-03 | 2014-11-12 | 安秉益 | 神经网络计算装置和系统及其方法 |
Family Cites Families (60)
| 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 |
| US5138695A (en) | 1989-10-10 | 1992-08-11 | Hnc, Inc. | Systolic array image processing system |
| 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 |
| 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 |
| US7634137B2 (en) | 2005-10-14 | 2009-12-15 | Microsoft Corporation | Unfolded convolution for fast feature extraction |
| 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 |
| JP5376920B2 (ja) | 2008-12-04 | 2013-12-25 | キヤノン株式会社 | コンボリューション演算回路、階層的コンボリューション演算回路及び物体認識装置 |
| EP2259214B1 (en) * | 2009-06-04 | 2013-02-27 | Honda Research Institute Europe GmbH | Implementing a neural associative memory based on non-linear learning of discrete synapses |
| US8442927B2 (en) | 2009-07-30 | 2013-05-14 | Nec Laboratories America, Inc. | Dynamically configurable, multi-ported co-processor for convolutional neural networks |
| TWI525558B (zh) | 2011-01-17 | 2016-03-11 | Univ Nat Taipei Technology | Resilient high - speed hardware reverse transfer and feedback type neural network system |
| US8924455B1 (en) | 2011-02-25 | 2014-12-30 | Xilinx, Inc. | Multiplication of matrices using systolic arrays |
| 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 |
| 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 |
| US9811775B2 (en) * | 2012-12-24 | 2017-11-07 | Google Inc. | Parallelizing neural networks during training |
| US20140280989A1 (en) | 2013-03-14 | 2014-09-18 | Thomas J. Borkowski | System and method for establishing peer to peer connections through symmetric nats |
| US9190053B2 (en) | 2013-03-25 | 2015-11-17 | The Governing Council Of The Univeristy Of Toronto | System and method for applying a convolutional neural network to speech recognition |
| 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 |
| GB2558271B (en) * | 2016-12-23 | 2021-09-08 | Imagination Tech Ltd | Median determination |
-
2015
- 2015-09-03 US US14/845,117 patent/US10192162B2/en active Active
-
2016
- 2016-04-29 CN CN201680019810.9A patent/CN107533667B/zh active Active
- 2016-04-29 KR KR1020207018024A patent/KR102379700B1/ko active Active
- 2016-04-29 FI FIEP16724517.4T patent/FI3298545T3/fi active
- 2016-04-29 DK DK16724517.4T patent/DK3298545T3/da active
- 2016-04-29 CN CN202110718015.1A patent/CN113392964B/zh active Active
- 2016-04-29 EP EP16724517.4A patent/EP3298545B1/en active Active
- 2016-04-29 WO PCT/US2016/029986 patent/WO2016186813A1/en not_active Ceased
- 2016-04-29 JP JP2017550887A patent/JP6615902B2/ja active Active
- 2016-04-29 GB GB1715525.0A patent/GB2553055B/en active Active
- 2016-04-29 DE DE202016107442.8U patent/DE202016107442U1/de not_active Expired - Lifetime
- 2016-04-29 DE DE112016002296.4T patent/DE112016002296T5/de not_active Withdrawn
- 2016-04-29 KR KR1020177028169A patent/KR102127524B1/ko active Active
- 2016-04-29 KR KR1020237010250A patent/KR102705474B1/ko active Active
- 2016-04-29 GB GB2200642.3A patent/GB2600290A/en not_active Withdrawn
- 2016-04-29 EP EP23197533.5A patent/EP4276690A1/en active Pending
- 2016-04-29 KR KR1020227009700A patent/KR102516092B1/ko active Active
- 2016-05-20 TW TW105115868A patent/TWI591490B/zh active
- 2016-05-20 TW TW106116630A patent/TWI638272B/zh active
- 2016-12-22 US US15/389,288 patent/US10074051B2/en active Active
-
2019
- 2019-01-11 US US16/245,406 patent/US11620508B2/en active Active
- 2019-08-02 JP JP2019142868A patent/JP7000387B2/ja active Active
-
2021
- 2021-09-10 JP JP2021148010A patent/JP7346510B2/ja active Active
-
2023
- 2023-03-01 US US18/176,640 patent/US12014272B2/en active Active
- 2023-09-06 JP JP2023144224A patent/JP7566105B2/ja active Active
-
2024
- 2024-04-16 US US18/636,640 patent/US12277499B2/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5799134A (en) * | 1995-03-13 | 1998-08-25 | Industrial Technology Research Institute | One dimensional systolic array architecture for neural network |
| CN104145281A (zh) * | 2012-02-03 | 2014-11-12 | 安秉益 | 神经网络计算装置和系统及其方法 |
| CN102665049A (zh) * | 2012-03-29 | 2012-09-12 | 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 |
Also Published As
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107533667B (zh) | 神经网络处理器中的向量计算单元 | |
| US12205018B2 (en) | Transposing neural network matrices in hardware | |
| HK40055231A (en) | Vector computation unit in a neural network processor | |
| HK40055231B (zh) | 神经网络处理器中的向量计算单元 | |
| HK1245954B (zh) | 神经网络处理器中的向量计算单元 | |
| HK40043994A (en) | Transposing neural network matrices in hardware |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information |
Address after: American California Applicant after: Google limited liability company Address before: American California Applicant before: Google Inc. |
|
| CB02 | Change of applicant information | ||
| REG | Reference to a national code |
Ref country code: HK Ref legal event code: DE Ref document number: 1245954 Country of ref document: HK |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |