GB201913353D0 - Method for designing accelerator hardware - Google Patents

Method for designing accelerator hardware

Info

Publication number
GB201913353D0
GB201913353D0 GB201913353A GB201913353A GB201913353D0 GB 201913353 D0 GB201913353 D0 GB 201913353D0 GB 201913353 A GB201913353 A GB 201913353A GB 201913353 A GB201913353 A GB 201913353A GB 201913353 D0 GB201913353 D0 GB 201913353D0
Authority
GB
United Kingdom
Prior art keywords
designing
accelerator hardware
accelerator
hardware
designing accelerator
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.)
Granted
Application number
GB201913353A
Other versions
GB2587032A (en
GB2587032B (en
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.)
Samsung Electronics Co Ltd
Original Assignee
Samsung Electronics Co 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 Samsung Electronics Co Ltd filed Critical Samsung Electronics Co Ltd
Priority to GB1913353.7A priority Critical patent/GB2587032B/en
Publication of GB201913353D0 publication Critical patent/GB201913353D0/en
Priority to KR1020200034093A priority patent/KR20210032266A/en
Priority to PCT/KR2020/010741 priority patent/WO2021054614A1/en
Priority to CN202080052984.1A priority patent/CN114144794A/en
Priority to EP20865553.0A priority patent/EP3966747A4/en
Priority to US17/015,724 priority patent/US20210081763A1/en
Publication of GB2587032A publication Critical patent/GB2587032A/en
Application granted granted Critical
Publication of GB2587032B publication Critical patent/GB2587032B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/30Circuit design
    • G06F30/32Circuit design at the digital level
    • G06F30/33Design verification, e.g. functional simulation or model checking
    • G06F30/3308Design verification, e.g. functional simulation or model checking using simulation
    • G06F30/331Design verification, e.g. functional simulation or model checking using simulation with hardware acceleration, e.g. by using field programmable gate array [FPGA] or emulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/30Circuit design
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • G06F30/27Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/30Circuit design
    • G06F30/34Circuit design for reconfigurable circuits, e.g. field programmable gate arrays [FPGA] or programmable logic devices [PLD]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/086Learning methods using evolutionary algorithms, e.g. genetic algorithms or genetic programming

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Hardware Design (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Geometry (AREA)
  • Neurology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Physiology (AREA)
  • Image Analysis (AREA)
  • Complex Calculations (AREA)
GB1913353.7A 2019-09-16 2019-09-16 Method for designing accelerator hardware Active GB2587032B (en)

Priority Applications (6)

Application Number Priority Date Filing Date Title
GB1913353.7A GB2587032B (en) 2019-09-16 2019-09-16 Method for designing accelerator hardware
KR1020200034093A KR20210032266A (en) 2019-09-16 2020-03-19 Electronic device and Method for controlling the electronic device thereof
EP20865553.0A EP3966747A4 (en) 2019-09-16 2020-08-13 Electronic device and method for controlling the electronic device thereof
CN202080052984.1A CN114144794A (en) 2019-09-16 2020-08-13 Electronic device and method for controlling electronic device
PCT/KR2020/010741 WO2021054614A1 (en) 2019-09-16 2020-08-13 Electronic device and method for controlling the electronic device thereof
US17/015,724 US20210081763A1 (en) 2019-09-16 2020-09-09 Electronic device and method for controlling the electronic device thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GB1913353.7A GB2587032B (en) 2019-09-16 2019-09-16 Method for designing accelerator hardware

Publications (3)

Publication Number Publication Date
GB201913353D0 true GB201913353D0 (en) 2019-10-30
GB2587032A GB2587032A (en) 2021-03-17
GB2587032B GB2587032B (en) 2022-03-16

Family

ID=68315417

Family Applications (1)

Application Number Title Priority Date Filing Date
GB1913353.7A Active GB2587032B (en) 2019-09-16 2019-09-16 Method for designing accelerator hardware

Country Status (2)

Country Link
KR (1) KR20210032266A (en)
GB (1) GB2587032B (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111325327A (en) * 2020-03-06 2020-06-23 四川九洲电器集团有限责任公司 Universal convolution neural network operation architecture based on embedded platform and use method
CN111652365A (en) * 2020-04-30 2020-09-11 哈尔滨工业大学 Hardware architecture for accelerating Deep Q-Network algorithm and design space exploration method thereof
CN112507197A (en) * 2020-12-18 2021-03-16 北京百度网讯科技有限公司 Model searching method, model searching apparatus, electronic device, storage medium, and program product
CN112613598A (en) * 2020-12-10 2021-04-06 上海交通大学 FPGA simulation-based resistive neural network accelerator evaluation method
CN113033784A (en) * 2021-04-18 2021-06-25 沈阳雅译网络技术有限公司 Method for searching neural network structure for CPU and GPU equipment
CN113065639A (en) * 2021-03-08 2021-07-02 深圳云天励飞技术股份有限公司 Operator fusion method, system, device and storage medium
CN113592088A (en) * 2021-07-30 2021-11-02 中科亿海微电子科技(苏州)有限公司 Parallelism determination method and system based on fine-grained convolution calculation structure
CN113780542A (en) * 2021-09-08 2021-12-10 北京航空航天大学杭州创新研究院 FPGA-oriented multi-target network structure construction method
CN115099393A (en) * 2022-08-22 2022-09-23 荣耀终端有限公司 Neural network structure searching method and related device

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102531646B1 (en) * 2022-11-14 2023-05-12 주식회사 마키나락스 Method for controlling air conditioning device based on delayed reward

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111325327A (en) * 2020-03-06 2020-06-23 四川九洲电器集团有限责任公司 Universal convolution neural network operation architecture based on embedded platform and use method
CN111652365A (en) * 2020-04-30 2020-09-11 哈尔滨工业大学 Hardware architecture for accelerating Deep Q-Network algorithm and design space exploration method thereof
CN111652365B (en) * 2020-04-30 2022-05-17 哈尔滨工业大学 Hardware architecture for accelerating Deep Q-Network algorithm and design space exploration method thereof
CN112613598B (en) * 2020-12-10 2023-04-07 上海交通大学 FPGA simulation-based resistive neural network accelerator evaluation method
CN112613598A (en) * 2020-12-10 2021-04-06 上海交通大学 FPGA simulation-based resistive neural network accelerator evaluation method
CN112507197A (en) * 2020-12-18 2021-03-16 北京百度网讯科技有限公司 Model searching method, model searching apparatus, electronic device, storage medium, and program product
CN112507197B (en) * 2020-12-18 2024-01-19 北京百度网讯科技有限公司 Model searching method, device, electronic equipment, storage medium and program product
CN113065639A (en) * 2021-03-08 2021-07-02 深圳云天励飞技术股份有限公司 Operator fusion method, system, device and storage medium
CN113065639B (en) * 2021-03-08 2023-06-13 深圳云天励飞技术股份有限公司 Operator fusion method, system, equipment and storage medium
CN113033784A (en) * 2021-04-18 2021-06-25 沈阳雅译网络技术有限公司 Method for searching neural network structure for CPU and GPU equipment
CN113592088A (en) * 2021-07-30 2021-11-02 中科亿海微电子科技(苏州)有限公司 Parallelism determination method and system based on fine-grained convolution calculation structure
CN113592088B (en) * 2021-07-30 2024-05-28 中科亿海微电子科技(苏州)有限公司 Parallelism determination method and system based on fine-granularity convolution computing structure
CN113780542B (en) * 2021-09-08 2023-09-12 北京航空航天大学杭州创新研究院 Method for constructing multi-target network structure facing FPGA
CN113780542A (en) * 2021-09-08 2021-12-10 北京航空航天大学杭州创新研究院 FPGA-oriented multi-target network structure construction method
CN115099393A (en) * 2022-08-22 2022-09-23 荣耀终端有限公司 Neural network structure searching method and related device

Also Published As

Publication number Publication date
GB2587032A (en) 2021-03-17
KR20210032266A (en) 2021-03-24
GB2587032B (en) 2022-03-16

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