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GB2618399B - Implementing a scatter function on a neural network accelerator - Google Patents

Implementing a scatter function on a neural network accelerator Download PDF

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Publication number
GB2618399B
GB2618399B GB2216141.8A GB202216141A GB2618399B GB 2618399 B GB2618399 B GB 2618399B GB 202216141 A GB202216141 A GB 202216141A GB 2618399 B GB2618399 B GB 2618399B
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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.)
Active
Application number
GB2216141.8A
Other versions
GB202216141D0 (en
GB2618399A (en
Inventor
Yang Le
Ahmadi Aria
Dikici Cagatay
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Imagination Technologies Ltd
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Imagination Technologies Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Imagination Technologies Ltd filed Critical Imagination Technologies Ltd
Priority to GB2216141.8A priority Critical patent/GB2618399B/en
Publication of GB202216141D0 publication Critical patent/GB202216141D0/en
Priority to EP23206520.1A priority patent/EP4361891A1/en
Priority to EP23206519.3A priority patent/EP4361890A1/en
Priority to EP23206516.9A priority patent/EP4361889A1/en
Priority to US18/385,487 priority patent/US20240169024A1/en
Priority to US18/385,690 priority patent/US20240169025A1/en
Priority to US18/385,556 priority patent/US20240160692A1/en
Publication of GB2618399A publication Critical patent/GB2618399A/en
Application granted granted Critical
Publication of GB2618399B publication Critical patent/GB2618399B/en
Active legal-status Critical Current
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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
    • 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
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0464—Convolutional networks [CNN, ConvNet]

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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)
  • Traffic Control Systems (AREA)
GB2216141.8A 2022-10-31 2022-10-31 Implementing a scatter function on a neural network accelerator Active GB2618399B (en)

Priority Applications (7)

Application Number Priority Date Filing Date Title
GB2216141.8A GB2618399B (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
US18/385,487 US20240169024A1 (en) 2022-10-31 2023-10-31 Implementing a scatter function on a neural network accelerator
US18/385,690 US20240169025A1 (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

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GB2216141.8A GB2618399B (en) 2022-10-31 2022-10-31 Implementing a scatter function on a neural network accelerator

Publications (3)

Publication Number Publication Date
GB202216141D0 GB202216141D0 (en) 2022-12-14
GB2618399A GB2618399A (en) 2023-11-08
GB2618399B true GB2618399B (en) 2024-06-12

Family

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Family Applications (1)

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GB2216141.8A Active GB2618399B (en) 2022-10-31 2022-10-31 Implementing a scatter function on a neural network accelerator

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GB (1) GB2618399B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116579373B (en) * 2023-05-10 2025-11-25 上海壁仞科技股份有限公司 Data processing methods and apparatus, electronic devices, storage media

Citations (1)

* Cited by examiner, † Cited by third party
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

Patent Citations (1)

* Cited by examiner, † Cited by third party
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)

* Cited by examiner, † Cited by third party
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
GB202216141D0 (en) 2022-12-14
GB2618399A (en) 2023-11-08

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Free format text: REGISTERED BETWEEN 20240822 AND 20240828