GB2599911B - Implementation of a neural network in multicore hardware - Google Patents
Implementation of a neural network in multicore hardware Download PDFInfo
- Publication number
- GB2599911B GB2599911B GB2016227.7A GB202016227A GB2599911B GB 2599911 B GB2599911 B GB 2599911B GB 202016227 A GB202016227 A GB 202016227A GB 2599911 B GB2599911 B GB 2599911B
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- implementation
- neural network
- multicore hardware
- multicore
- hardware
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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
- 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
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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)
- Evolutionary Computation (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Artificial Intelligence (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Neurology (AREA)
- Image Processing (AREA)
Priority Applications (10)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
GB2016227.7A GB2599911B (en) | 2020-10-13 | 2020-10-13 | Implementation of a neural network in multicore hardware |
EP21202216.4A EP3985570A1 (en) | 2020-10-13 | 2021-10-12 | Implementation of a neural network in multicore hardware |
EP21202217.2A EP3985572A1 (en) | 2020-10-13 | 2021-10-12 | Implementation of a neural network in multicore hardware |
EP21202218.0A EP3985573A1 (en) | 2020-10-13 | 2021-10-12 | Implementation of a neural network in multicore hardware |
CN202111193836.4A CN114358238A (en) | 2020-10-13 | 2021-10-13 | Implementation mode of neural network in multi-core hardware |
CN202111193824.1A CN114358237A (en) | 2020-10-13 | 2021-10-13 | Implementation mode of neural network in multi-core hardware |
US17/500,206 US11853866B2 (en) | 2020-10-13 | 2021-10-13 | Implementation of a neural network in multicore hardware |
US17/500,415 US20220129741A1 (en) | 2020-10-13 | 2021-10-13 | Implementation of a neural network in multicore hardware |
CN202111193846.8A CN114358239A (en) | 2020-10-13 | 2021-10-13 | Implementation mode of neural network in multi-core hardware |
US17/500,840 US11875248B2 (en) | 2020-10-13 | 2021-10-13 | Implementation of a neural network in multicore hardware |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
GB2016227.7A GB2599911B (en) | 2020-10-13 | 2020-10-13 | Implementation of a neural network in multicore hardware |
Publications (3)
Publication Number | Publication Date |
---|---|
GB202016227D0 GB202016227D0 (en) | 2020-11-25 |
GB2599911A GB2599911A (en) | 2022-04-20 |
GB2599911B true GB2599911B (en) | 2023-07-05 |
Family
ID=73460426
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
GB2016227.7A Active GB2599911B (en) | 2020-10-13 | 2020-10-13 | Implementation of a neural network in multicore hardware |
Country Status (1)
Country | Link |
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GB (1) | GB2599911B (en) |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11976546B2 (en) * | 2020-12-08 | 2024-05-07 | Halliburton Energy Services, Inc. | Deep learning methods for wellbore pipe inspection |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111222561A (en) * | 2019-12-31 | 2020-06-02 | 深圳云天励飞技术有限公司 | Image recognition neural network processing method, device and system |
US20200233803A1 (en) * | 2020-03-26 | 2020-07-23 | Intel Corporation | Efficient hardware architecture for accelerating grouped convolutions |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB2566702B (en) | 2017-09-20 | 2021-11-03 | Imagination Tech Ltd | Hardware implementation of a deep neural network with variable output data format |
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2020
- 2020-10-13 GB GB2016227.7A patent/GB2599911B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111222561A (en) * | 2019-12-31 | 2020-06-02 | 深圳云天励飞技术有限公司 | Image recognition neural network processing method, device and system |
US20200233803A1 (en) * | 2020-03-26 | 2020-07-23 | Intel Corporation | Efficient hardware architecture for accelerating grouped convolutions |
Non-Patent Citations (3)
Title |
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CORNELL UNIVERSITY LIBRARY, 2018, SANGKUG LYM ET AL, "Mini-batch Serialization: CNN Training with Inter-layer Data Reuse" * |
PHD THESIS, 2019, LYM SANGKUG, "Efficient Deep Neural Network Model Training by Reducing Memory and Compute Demands", pages 1-190 * |
WIKIPEDIA, 2020, ANONYMOUS, "Electronic design automation - Wikipedia", pages 1-6 * |
Also Published As
Publication number | Publication date |
---|---|
GB202016227D0 (en) | 2020-11-25 |
GB2599911A (en) | 2022-04-20 |
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