TWI800979B - 神經網絡處理單元及系統 - Google Patents

神經網絡處理單元及系統 Download PDF

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Publication number
TWI800979B
TWI800979B TW110142113A TW110142113A TWI800979B TW I800979 B TWI800979 B TW I800979B TW 110142113 A TW110142113 A TW 110142113A TW 110142113 A TW110142113 A TW 110142113A TW I800979 B TWI800979 B TW I800979B
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Taiwan
Prior art keywords
processing unit
neural network
network processing
neural
unit
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TW110142113A
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English (en)
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TW202219839A (zh
Inventor
林建宏
蔡一民
余佳霖
楊濟維
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聯發科技股份有限公司
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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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • 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
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2207/00—Indexing scheme relating to methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F2207/38—Indexing scheme relating to groups G06F7/38 - G06F7/575
    • G06F2207/3804—Details
    • G06F2207/3808—Details concerning the type of numbers or the way they are handled
    • G06F2207/3812—Devices capable of handling different types of numbers
    • G06F2207/3824—Accepting both fixed-point and floating-point numbers

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Molecular Biology (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Artificial Intelligence (AREA)
  • Mathematical Physics (AREA)
  • General Health & Medical Sciences (AREA)
  • Neurology (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Advance Control (AREA)
TW110142113A 2020-11-13 2021-11-12 神經網絡處理單元及系統 TWI800979B (zh)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US202063113215P 2020-11-13 2020-11-13
US63/113,215 2020-11-13
US17/505,422 US20220156567A1 (en) 2020-11-13 2021-10-19 Neural network processing unit for hybrid and mixed precision computing
US17/505,422 2021-10-19

Publications (2)

Publication Number Publication Date
TW202219839A TW202219839A (zh) 2022-05-16
TWI800979B true TWI800979B (zh) 2023-05-01

Family

ID=81492971

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Application Number Title Priority Date Filing Date
TW110142113A TWI800979B (zh) 2020-11-13 2021-11-12 神經網絡處理單元及系統

Country Status (3)

Country Link
US (1) US20220156567A1 (zh)
CN (1) CN114492771A (zh)
TW (1) TWI800979B (zh)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20230401420A1 (en) * 2022-06-12 2023-12-14 Mediatek Inc. Compiling asymmetrically-quantized neural network models for deep learning acceleration

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW201835818A (zh) * 2017-02-14 2018-10-01 美商谷歌有限責任公司 在定點算術運算系統中實施神經網路
CN109993277A (zh) * 2017-12-29 2019-07-09 英特尔公司 用于深度神经网络的计算优化机制
TW202013261A (zh) * 2018-09-20 2020-04-01 耐能智慧股份有限公司 算數框架系統及操作浮點至定點算數框架的方法
CN111857649A (zh) * 2020-06-22 2020-10-30 复旦大学 一种用于隐私保护机器学习的定点数编码及运算系统

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW201835818A (zh) * 2017-02-14 2018-10-01 美商谷歌有限責任公司 在定點算術運算系統中實施神經網路
CN109993277A (zh) * 2017-12-29 2019-07-09 英特尔公司 用于深度神经网络的计算优化机制
TW202013261A (zh) * 2018-09-20 2020-04-01 耐能智慧股份有限公司 算數框架系統及操作浮點至定點算數框架的方法
CN111857649A (zh) * 2020-06-22 2020-10-30 复旦大学 一种用于隐私保护机器学习的定点数编码及运算系统

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TW202219839A (zh) 2022-05-16
CN114492771A (zh) 2022-05-13
US20220156567A1 (en) 2022-05-19

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