GB2568230B - Processing in neural networks - Google Patents
Processing in neural networks Download PDFInfo
- Publication number
- GB2568230B GB2568230B GB1717306.3A GB201717306A GB2568230B GB 2568230 B GB2568230 B GB 2568230B GB 201717306 A GB201717306 A GB 201717306A GB 2568230 B GB2568230 B GB 2568230B
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- neural networks
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06F9/30—Arrangements for executing machine instructions, e.g. instruction decode
- G06F9/30003—Arrangements for executing specific machine instructions
- G06F9/30007—Arrangements for executing specific machine instructions to perform operations on data operands
- G06F9/30036—Instructions to perform operations on packed data, e.g. vector, tile or matrix operations
- G06F9/30038—Instructions to perform operations on packed data, e.g. vector, tile or matrix operations using a mask
-
- 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
- G06N3/061—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using biological neurons, e.g. biological neurons connected to an integrated circuit
-
- 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
- G06F7/58—Random or pseudo-random number generators
- G06F7/582—Pseudo-random number generators
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06F9/30—Arrangements for executing machine instructions, e.g. instruction decode
- G06F9/30003—Arrangements for executing specific machine instructions
- G06F9/30007—Arrangements for executing specific machine instructions to perform operations on data operands
- G06F9/30018—Bit or string instructions
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06F9/30—Arrangements for executing machine instructions, e.g. instruction decode
- G06F9/30003—Arrangements for executing specific machine instructions
- G06F9/30007—Arrangements for executing specific machine instructions to perform operations on data operands
- G06F9/30036—Instructions to perform operations on packed data, e.g. vector, tile or matrix operations
-
- 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
- G06N3/045—Combinations of 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
- G06N3/06—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
- G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Software Systems (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- General Health & Medical Sciences (AREA)
- Evolutionary Computation (AREA)
- Data Mining & Analysis (AREA)
- Computational Linguistics (AREA)
- Artificial Intelligence (AREA)
- Neurology (AREA)
- Microelectronics & Electronic Packaging (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Executing Machine-Instructions (AREA)
- Advance Control (AREA)
- Complex Calculations (AREA)
Priority Applications (8)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| GB1717306.3A GB2568230B (en) | 2017-10-20 | 2017-10-20 | Processing in neural networks |
| US15/886,331 US11900109B2 (en) | 2017-10-20 | 2018-02-01 | Instruction for masking randomly selected values in a source vector for neural network processing |
| EP18200108.1A EP3474193B1 (en) | 2017-10-20 | 2018-10-12 | Processing in neural networks |
| CN201811206575.3A CN109697506B (zh) | 2017-10-20 | 2018-10-16 | 神经网络中的处理 |
| JP2018197162A JP6709266B2 (ja) | 2017-10-20 | 2018-10-19 | ニューラルネットワークにおける処理 |
| KR1020180125335A KR102197539B1 (ko) | 2017-10-20 | 2018-10-19 | 신경 네트워크들에서 프로세싱하기 |
| TW107136964A TWI719348B (zh) | 2017-10-20 | 2018-10-19 | 執行單元,用於執行電腦程式之方法,以及電腦程式 |
| CA3021426A CA3021426C (en) | 2017-10-20 | 2018-10-19 | Processing in neural networks |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| GB1717306.3A GB2568230B (en) | 2017-10-20 | 2017-10-20 | Processing in neural networks |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| GB201717306D0 GB201717306D0 (en) | 2017-12-06 |
| GB2568230A GB2568230A (en) | 2019-05-15 |
| GB2568230B true GB2568230B (en) | 2020-06-03 |
Family
ID=60481809
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| GB1717306.3A Active GB2568230B (en) | 2017-10-20 | 2017-10-20 | Processing in neural networks |
Country Status (8)
| Country | Link |
|---|---|
| US (1) | US11900109B2 (enExample) |
| EP (1) | EP3474193B1 (enExample) |
| JP (1) | JP6709266B2 (enExample) |
| KR (1) | KR102197539B1 (enExample) |
| CN (1) | CN109697506B (enExample) |
| CA (1) | CA3021426C (enExample) |
| GB (1) | GB2568230B (enExample) |
| TW (1) | TWI719348B (enExample) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR102683757B1 (ko) * | 2018-02-20 | 2024-07-10 | 삼성전자주식회사 | 심층 신경망의 학습을 수행시키는 방법 및 그에 대한 장치 |
| KR102694572B1 (ko) * | 2018-02-20 | 2024-08-13 | 삼성전자주식회사 | 완전 연결 네트워크의 데이터 입력 및 출력을 제어하는 방법 및 장치 |
| KR102780709B1 (ko) * | 2023-03-31 | 2025-03-12 | 한국과학기술원 | 부호형 비트 슬라이스 생성기 및 그 방법과, 부호형 비트 슬라이스 연산기와, 이들을 적용한 인공지능 신경망 가속장치 |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160307098A1 (en) * | 2015-04-19 | 2016-10-20 | International Business Machines Corporation | Annealed dropout training of neural networks |
Family Cites Families (27)
| Publication number | Priority date | Publication date | Assignee | Title |
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| AU641418B2 (en) * | 1989-09-20 | 1993-09-23 | Fujitsu Limited | A parallel data processing system for processing and transmitting data concurrently |
| JPH11500547A (ja) * | 1994-12-01 | 1999-01-12 | インテル・コーポレーション | 乗算を有するマイクロプロセッサ |
| US6473522B1 (en) * | 2000-03-14 | 2002-10-29 | Intel Corporation | Estimating text color and segmentation of images |
| JP3621695B2 (ja) | 2002-07-29 | 2005-02-16 | 株式会社東芝 | 半導体装置及び素子形成用基板 |
| US20040230626A1 (en) * | 2003-05-12 | 2004-11-18 | International Business Machines Corporation | Computer system method for a one cycle implementation of test under mask instructions |
| US7961873B2 (en) * | 2004-03-03 | 2011-06-14 | King Fahd University Of Petroleum And Minerals | Password protocols using XZ-elliptic curve cryptography |
| US7502763B2 (en) * | 2005-07-29 | 2009-03-10 | The Florida International University Board Of Trustees | Artificial neural network design and evaluation tool |
| US9529592B2 (en) * | 2007-12-27 | 2016-12-27 | Intel Corporation | Vector mask memory access instructions to perform individual and sequential memory access operations if an exception occurs during a full width memory access operation |
| US9477467B2 (en) * | 2013-03-30 | 2016-10-25 | Intel Corporation | Processors, methods, and systems to implement partial register accesses with masked full register accesses |
| US9417845B2 (en) * | 2013-10-02 | 2016-08-16 | Qualcomm Incorporated | Method and apparatus for producing programmable probability distribution function of pseudo-random numbers |
| CN104751227B (zh) * | 2013-12-31 | 2018-03-06 | 科大讯飞股份有限公司 | 用于语音识别的深度神经网络的构建方法及系统 |
| CN106030513A (zh) * | 2014-03-27 | 2016-10-12 | 英特尔公司 | 用于采用到被屏蔽结果元素的传播将连续源元素存储到未屏蔽结果元素的处理器、方法、系统和指令 |
| EP3123300A1 (en) | 2014-03-28 | 2017-02-01 | Intel Corporation | Processors, methods, systems, and instructions to store source elements to corresponding unmasked result elements with propagation to masked result elements |
| US20160026912A1 (en) * | 2014-07-22 | 2016-01-28 | Intel Corporation | Weight-shifting mechanism for convolutional neural networks |
| US10133570B2 (en) * | 2014-09-19 | 2018-11-20 | Intel Corporation | Processors, methods, systems, and instructions to select and consolidate active data elements in a register under mask into a least significant portion of result, and to indicate a number of data elements consolidated |
| EP3035205A1 (en) * | 2014-12-19 | 2016-06-22 | Intel Corporation | Reconfigurable functional unit and method for artificial neural networks |
| US10192162B2 (en) * | 2015-05-21 | 2019-01-29 | Google Llc | Vector computation unit in a neural network processor |
| CN106528047B (zh) * | 2015-10-08 | 2019-04-09 | 上海兆芯集成电路有限公司 | 一种处理器、神经网络单元及其运作方法 |
| JP2017097585A (ja) * | 2015-11-24 | 2017-06-01 | 株式会社リコー | 学習装置、プログラム及び学習方法 |
| CN106127301B (zh) * | 2016-01-16 | 2019-01-11 | 上海大学 | 一种随机神经网络硬件实现装置 |
| CN106796668B (zh) * | 2016-03-16 | 2019-06-14 | 香港应用科技研究院有限公司 | 用于人工神经网络中比特深度减少的方法和系统 |
| US10360496B2 (en) * | 2016-04-01 | 2019-07-23 | Intel Corporation | Apparatus and method for a digital neuromorphic processor |
| US10891538B2 (en) * | 2016-08-11 | 2021-01-12 | Nvidia Corporation | Sparse convolutional neural network accelerator |
| US11068781B2 (en) * | 2016-10-07 | 2021-07-20 | Nvidia Corporation | Temporal ensembling for semi-supervised learning |
| US10528321B2 (en) * | 2016-12-07 | 2020-01-07 | Microsoft Technology Licensing, Llc | Block floating point for neural network implementations |
| CA3051990C (en) * | 2017-02-23 | 2021-03-23 | Cerebras Systems Inc. | Accelerated deep learning |
| US10776697B2 (en) * | 2017-04-18 | 2020-09-15 | Huawei Technologies Co., Ltd. | System and method for training a neural network |
-
2017
- 2017-10-20 GB GB1717306.3A patent/GB2568230B/en active Active
-
2018
- 2018-02-01 US US15/886,331 patent/US11900109B2/en active Active
- 2018-10-12 EP EP18200108.1A patent/EP3474193B1/en active Active
- 2018-10-16 CN CN201811206575.3A patent/CN109697506B/zh active Active
- 2018-10-19 KR KR1020180125335A patent/KR102197539B1/ko active Active
- 2018-10-19 JP JP2018197162A patent/JP6709266B2/ja active Active
- 2018-10-19 TW TW107136964A patent/TWI719348B/zh active
- 2018-10-19 CA CA3021426A patent/CA3021426C/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160307098A1 (en) * | 2015-04-19 | 2016-10-20 | International Business Machines Corporation | Annealed dropout training of neural networks |
Also Published As
| Publication number | Publication date |
|---|---|
| TWI719348B (zh) | 2021-02-21 |
| CA3021426A1 (en) | 2019-04-20 |
| GB2568230A (en) | 2019-05-15 |
| KR20190044549A (ko) | 2019-04-30 |
| CA3021426C (en) | 2023-08-01 |
| JP6709266B2 (ja) | 2020-06-10 |
| JP2019079524A (ja) | 2019-05-23 |
| US11900109B2 (en) | 2024-02-13 |
| CN109697506A (zh) | 2019-04-30 |
| GB201717306D0 (en) | 2017-12-06 |
| TW201931107A (zh) | 2019-08-01 |
| CN109697506B (zh) | 2023-07-14 |
| EP3474193A1 (en) | 2019-04-24 |
| US20190121639A1 (en) | 2019-04-25 |
| KR102197539B1 (ko) | 2020-12-31 |
| EP3474193B1 (en) | 2025-09-10 |
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