GB2618400B - Implementing a scatter function on a neural network accelerator - Google Patents
Implementing a scatter function on a neural network accelerator Download PDFInfo
- Publication number
- GB2618400B GB2618400B GB2216142.6A GB202216142A GB2618400B GB 2618400 B GB2618400 B GB 2618400B GB 202216142 A GB202216142 A GB 202216142A GB 2618400 B GB2618400 B GB 2618400B
- Authority
- GB
- United Kingdom
- Prior art keywords
- implementing
- neural network
- network accelerator
- scatter function
- scatter
- 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.)
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Classifications
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- 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
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- 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
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/15—Correlation function computation including computation of convolution operations
- G06F17/153—Multidimensional correlation or convolution
-
- 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
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Artificial Intelligence (AREA)
- Molecular Biology (AREA)
- General Health & Medical Sciences (AREA)
- Evolutionary Computation (AREA)
- Computational Linguistics (AREA)
- Neurology (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Databases & Information Systems (AREA)
- Algebra (AREA)
- Complex Calculations (AREA)
- Traffic Control Systems (AREA)
Priority Applications (10)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| GB2216142.6A GB2618400B (en) | 2022-10-31 | 2022-10-31 | Implementing a scatter function on a neural network accelerator |
| EP23206520.1A EP4361891A1 (en) | 2022-10-31 | 2023-10-27 | Implementing a scatter function on a neural network accelerator |
| EP23206519.3A EP4361890A1 (en) | 2022-10-31 | 2023-10-27 | Implementing a scatter function on a neural network accelerator |
| EP23206516.9A EP4361889A1 (en) | 2022-10-31 | 2023-10-27 | Implementing a scatter function on a neural network accelerator |
| CN202311432544.0A CN117952154A (en) | 2022-10-31 | 2023-10-31 | Implementing decentralized functions on neural network accelerators |
| US18/385,690 US20240169025A1 (en) | 2022-10-31 | 2023-10-31 | Implementing a scatter function on a neural network accelerator |
| CN202311437924.3A CN117952156A (en) | 2022-10-31 | 2023-10-31 | Implementing decentralized functions on neural network accelerators |
| US18/385,487 US20240169024A1 (en) | 2022-10-31 | 2023-10-31 | Implementing a scatter function on a neural network accelerator |
| US18/385,556 US20240160692A1 (en) | 2022-10-31 | 2023-10-31 | Implementing a scatter function on a neural network accelerator |
| CN202311434360.8A CN117952155A (en) | 2022-10-31 | 2023-10-31 | Implementing decentralized functions on neural network accelerators |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| GB2216142.6A GB2618400B (en) | 2022-10-31 | 2022-10-31 | Implementing a scatter function on a neural network accelerator |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| GB202216142D0 GB202216142D0 (en) | 2022-12-14 |
| GB2618400A GB2618400A (en) | 2023-11-08 |
| GB2618400B true GB2618400B (en) | 2024-06-12 |
Family
ID=84839364
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| GB2216142.6A Active GB2618400B (en) | 2022-10-31 | 2022-10-31 | Implementing a scatter function on a neural network accelerator |
Country Status (2)
| Country | Link |
|---|---|
| CN (3) | CN117952156A (en) |
| GB (1) | GB2618400B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2025230527A1 (en) * | 2024-05-01 | 2025-11-06 | Intel Corporation | Deep neural network accelerator with intermediate storage facilitiating tensor permutation |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115186802A (en) * | 2022-07-18 | 2022-10-14 | 南京大学 | Block sparse method and device based on convolutional neural network and processing unit |
-
2022
- 2022-10-31 GB GB2216142.6A patent/GB2618400B/en active Active
-
2023
- 2023-10-31 CN CN202311437924.3A patent/CN117952156A/en active Pending
- 2023-10-31 CN CN202311434360.8A patent/CN117952155A/en active Pending
- 2023-10-31 CN CN202311432544.0A patent/CN117952154A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115186802A (en) * | 2022-07-18 | 2022-10-14 | 南京大学 | Block sparse method and device based on convolutional neural network and processing unit |
Non-Patent Citations (1)
| Title |
|---|
| Integrated fusion framework based on semicoupled sparse tensor factorization for spatio-temporal-spectral fusion of remote sensing images, James Pappachen et a, Information Fusion, Elsevier, Volume 65, 2021, pages 21-36, ISSN: 1566 * |
Also Published As
| Publication number | Publication date |
|---|---|
| GB2618400A (en) | 2023-11-08 |
| CN117952154A (en) | 2024-04-30 |
| CN117952155A (en) | 2024-04-30 |
| GB202216142D0 (en) | 2022-12-14 |
| CN117952156A (en) | 2024-04-30 |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| 732E | Amendments to the register in respect of changes of name or changes affecting rights (sect. 32/1977) |
Free format text: REGISTERED BETWEEN 20240822 AND 20240828 |