GB2585810B - Buffer addressing for a convolutional neural network - Google Patents

Buffer addressing for a convolutional neural network Download PDF

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Publication number
GB2585810B
GB2585810B GB2016389.5A GB202016389A GB2585810B GB 2585810 B GB2585810 B GB 2585810B GB 202016389 A GB202016389 A GB 202016389A GB 2585810 B GB2585810 B GB 2585810B
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United Kingdom
Prior art keywords
neural network
convolutional neural
buffer addressing
addressing
buffer
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
GB2016389.5A
Other versions
GB202016389D0 (en
GB2585810A (en
Inventor
McQuillan Colin
Barnard Daniel
Gibson Clifford
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
Original Assignee
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.)
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Publication date
Application filed by Imagination Technologies Ltd filed Critical Imagination Technologies Ltd
Priority to GB2016389.5A priority Critical patent/GB2585810B/en
Priority claimed from GB1616953.4A external-priority patent/GB2554711B/en
Publication of GB202016389D0 publication Critical patent/GB202016389D0/en
Publication of GB2585810A publication Critical patent/GB2585810A/en
Application granted granted Critical
Publication of GB2585810B publication Critical patent/GB2585810B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

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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
    • G06F12/00—Accessing, addressing or allocating within memory systems or architectures
    • G06F12/02—Addressing or allocation; Relocation
    • G06F12/0207—Addressing or allocation; Relocation with multidimensional access, e.g. row/column, matrix
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F12/00—Accessing, addressing or allocating within memory systems or architectures
    • G06F12/02—Addressing or allocation; Relocation
    • G06F12/0223—User address space allocation, e.g. contiguous or non contiguous base addressing
    • G06F12/0284—Multiple user address space allocation, e.g. using different base addresses
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F12/00—Accessing, addressing or allocating within memory systems or architectures
    • G06F12/02—Addressing or allocation; Relocation
    • G06F12/08—Addressing or allocation; Relocation in hierarchically structured memory systems, e.g. virtual memory systems
    • G06F12/0802—Addressing of a memory level in which the access to the desired data or data block requires associative addressing means, e.g. caches
    • G06F12/0844—Multiple simultaneous or quasi-simultaneous cache accessing
    • G06F12/0846—Cache with multiple tag or data arrays being simultaneously accessible
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F12/00—Accessing, addressing or allocating within memory systems or architectures
    • G06F12/02—Addressing or allocation; Relocation
    • G06F12/08—Addressing or allocation; Relocation in hierarchically structured memory systems, e.g. virtual memory systems
    • G06F12/0802—Addressing of a memory level in which the access to the desired data or data block requires associative addressing means, e.g. caches
    • G06F12/0875—Addressing of a memory level in which the access to the desired data or data block requires associative addressing means, e.g. caches with dedicated cache, e.g. instruction or stack
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2212/00—Indexing scheme relating to accessing, addressing or allocation within memory systems or architectures
    • G06F2212/10—Providing a specific technical effect
    • G06F2212/1016—Performance improvement
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2212/00—Indexing scheme relating to accessing, addressing or allocation within memory systems or architectures
    • G06F2212/45—Caching of specific data in cache memory
    • G06F2212/454—Vector or matrix data

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • Computational Linguistics (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Neurology (AREA)
  • Memory System (AREA)
GB2016389.5A 2016-10-06 2016-10-06 Buffer addressing for a convolutional neural network Active GB2585810B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
GB2016389.5A GB2585810B (en) 2016-10-06 2016-10-06 Buffer addressing for a convolutional neural network

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
GB1616953.4A GB2554711B (en) 2016-10-06 2016-10-06 Buffer addressing for a convolutional neural network
GB2016389.5A GB2585810B (en) 2016-10-06 2016-10-06 Buffer addressing for a convolutional neural network

Publications (3)

Publication Number Publication Date
GB202016389D0 GB202016389D0 (en) 2020-12-02
GB2585810A GB2585810A (en) 2021-01-20
GB2585810B true GB2585810B (en) 2021-07-07

Family

ID=73598607

Family Applications (1)

Application Number Title Priority Date Filing Date
GB2016389.5A Active GB2585810B (en) 2016-10-06 2016-10-06 Buffer addressing for a convolutional neural network

Country Status (1)

Country Link
GB (1) GB2585810B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11423285B2 (en) 2016-10-06 2022-08-23 Imagination Technologies Limited Buffer addressing for a convolutional neural network

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108388537B (en) * 2018-03-06 2020-06-16 上海熠知电子科技有限公司 Convolutional neural network acceleration device and method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
None *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11423285B2 (en) 2016-10-06 2022-08-23 Imagination Technologies Limited Buffer addressing for a convolutional neural network

Also Published As

Publication number Publication date
GB202016389D0 (en) 2020-12-02
GB2585810A (en) 2021-01-20

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