SG11202007532TA - Neural network accelerator - Google Patents
Neural network acceleratorInfo
- Publication number
- SG11202007532TA SG11202007532TA SG11202007532TA SG11202007532TA SG11202007532TA SG 11202007532T A SG11202007532T A SG 11202007532TA SG 11202007532T A SG11202007532T A SG 11202007532TA SG 11202007532T A SG11202007532T A SG 11202007532TA SG 11202007532T A SG11202007532T A SG 11202007532TA
- Authority
- SG
- Singapore
- Prior art keywords
- neural network
- network accelerator
- accelerator
- neural
- network
- Prior art date
Links
Classifications
-
- 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
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F13/00—Interconnection of, or transfer of information or other signals between, memories, input/output devices or central processing units
- G06F13/38—Information transfer, e.g. on bus
- G06F13/42—Bus transfer protocol, e.g. handshake; Synchronisation
- G06F13/4282—Bus transfer protocol, e.g. handshake; Synchronisation on a serial bus, e.g. I2C bus, SPI bus
-
- 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
- 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
- G06N3/048—Activation functions
Landscapes
- 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)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Evolutionary Computation (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- Data Mining & Analysis (AREA)
- Computational Linguistics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Neurology (AREA)
- Complex Calculations (AREA)
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201862710488P | 2018-02-16 | 2018-02-16 | |
US201862664190P | 2018-04-29 | 2018-04-29 | |
PCT/CA2019/050187 WO2019157599A1 (en) | 2018-02-16 | 2019-02-15 | Neural network accelerator |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11202007532TA true SG11202007532TA (en) | 2020-09-29 |
Family
ID=67619691
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11202007532TA SG11202007532TA (en) | 2018-02-16 | 2019-02-15 | Neural network accelerator |
Country Status (7)
Country | Link |
---|---|
US (1) | US20210004668A1 (en) |
JP (1) | JP7349438B2 (en) |
KR (1) | KR20200118815A (en) |
CN (1) | CN111742331B (en) |
CA (1) | CA3090329C (en) |
SG (1) | SG11202007532TA (en) |
WO (1) | WO2019157599A1 (en) |
Families Citing this family (31)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11966835B2 (en) * | 2018-06-05 | 2024-04-23 | Nvidia Corp. | Deep neural network accelerator with fine-grained parallelism discovery |
US11769040B2 (en) | 2018-09-10 | 2023-09-26 | Nvidia Corp. | Scalable multi-die deep learning system |
CN109543140B (en) * | 2018-09-20 | 2020-07-10 | 中国科学院计算技术研究所 | Convolutional neural network accelerator |
US11747205B2 (en) * | 2019-02-27 | 2023-09-05 | Deep Smart Light Ltd. | Noninvasive, multispectral-fluorescence characterization of biological tissues with machine/deep learning |
US11270197B2 (en) | 2019-03-12 | 2022-03-08 | Nvidia Corp. | Efficient neural network accelerator dataflows |
US20210110243A1 (en) * | 2019-10-10 | 2021-04-15 | Hewlett Packard Enterprise Development Lp | Deep learning accelerator system interface |
CN110991609B (en) * | 2019-11-27 | 2023-12-26 | 天津大学 | Line buffer for data transmission |
KR102410166B1 (en) * | 2019-11-27 | 2022-06-20 | 고려대학교 산학협력단 | Deep neural network accelerator using heterogeneous multiply-accumulate unit |
US11615256B1 (en) * | 2019-12-30 | 2023-03-28 | Ali Tasdighi Far | Hybrid accumulation method in multiply-accumulate for machine learning |
US11610104B1 (en) * | 2019-12-30 | 2023-03-21 | Ali Tasdighi Far | Asynchronous analog accelerator for fully connected artificial neural networks |
US20210303987A1 (en) * | 2020-03-26 | 2021-09-30 | Advanced Micro Devices, Inc. | Power reduction for machine learning accelerator background |
US11175844B1 (en) * | 2020-05-13 | 2021-11-16 | International Business Machines Corporation | Optimal placement of data structures in a hybrid memory based inference computing platform |
US20210357748A1 (en) * | 2020-05-14 | 2021-11-18 | Samsung Electronics Co., Ltd. | Hierarchical weight preprocessing for neural network accelerator |
US11500811B2 (en) * | 2020-06-12 | 2022-11-15 | Alibaba Group Holding Limited | Apparatuses and methods for map reduce |
EP4168943A4 (en) * | 2020-07-21 | 2024-07-24 | Governing Council Univ Toronto | System and method for accelerating training of deep learning networks |
KR102464508B1 (en) * | 2020-12-31 | 2022-11-09 | 주식회사 메이아이 | Method, system and non-transitory computer-readable recording medium for lightening artificial neural network models |
CN114692865A (en) * | 2020-12-31 | 2022-07-01 | 安徽寒武纪信息科技有限公司 | Neural network quantitative training method and device and related products |
CN113269316B (en) * | 2021-03-26 | 2022-10-11 | 复旦大学 | Sparse data selection logic module supporting sparse neural network computing accelerator |
KR20220147398A (en) * | 2021-04-27 | 2022-11-03 | 삼성전자주식회사 | Electronic device for processing data based on artificial intelligence model and method for thereof |
US11675592B2 (en) | 2021-06-17 | 2023-06-13 | International Business Machines Corporation | Instruction to query for model-dependent information |
US11797270B2 (en) | 2021-06-17 | 2023-10-24 | International Business Machines Corporation | Single function to perform multiple operations with distinct operation parameter validation |
US12079658B2 (en) | 2021-06-17 | 2024-09-03 | International Business Machines Corporation | Detection of invalid machine-specific data types during data conversion |
US11693692B2 (en) | 2021-06-17 | 2023-07-04 | International Business Machines Corporation | Program event recording storage alteration processing for a neural network accelerator instruction |
US11669331B2 (en) | 2021-06-17 | 2023-06-06 | International Business Machines Corporation | Neural network processing assist instruction |
US11734013B2 (en) | 2021-06-17 | 2023-08-22 | International Business Machines Corporation | Exception summary for invalid values detected during instruction execution |
US11269632B1 (en) | 2021-06-17 | 2022-03-08 | International Business Machines Corporation | Data conversion to/from selected data type with implied rounding mode |
US20210319317A1 (en) * | 2021-06-24 | 2021-10-14 | Intel Corporation | Methods and apparatus to perform machine-learning model operations on sparse accelerators |
CN113592066B (en) * | 2021-07-08 | 2024-01-05 | 深圳市易成自动驾驶技术有限公司 | Hardware acceleration method, device, equipment and storage medium |
CN113692592B (en) * | 2021-07-08 | 2022-06-28 | 香港应用科技研究院有限公司 | Dynamic tile parallel neural network accelerator |
WO2023004570A1 (en) * | 2021-07-27 | 2023-02-02 | Qualcomm Incorporated | Activation buffer architecture for data-reuse in a neural network accelerator |
US11734552B1 (en) * | 2022-03-10 | 2023-08-22 | Rebellions Inc. | Neural processing device |
Family Cites Families (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5751913A (en) * | 1996-07-29 | 1998-05-12 | Industrial Technology Research Institute | Reconfigurable neural network and difference-square neuron |
US6199057B1 (en) * | 1996-10-23 | 2001-03-06 | California Institute Of Technology | Bit-serial neuroprocessor architecture |
WO2014085975A1 (en) * | 2012-12-04 | 2014-06-12 | 中国科学院半导体研究所 | Dynamically reconfigurable multistage parallel single-instruction multi-data array processing system |
US10192162B2 (en) * | 2015-05-21 | 2019-01-29 | Google Llc | Vector computation unit in a neural network processor |
US10417555B2 (en) * | 2015-05-29 | 2019-09-17 | Samsung Electronics Co., Ltd. | Data-optimized neural network traversal |
US20160358069A1 (en) * | 2015-06-03 | 2016-12-08 | Samsung Electronics Co., Ltd. | Neural network suppression |
KR102120396B1 (en) * | 2016-05-26 | 2020-06-08 | 더 가버닝 카운슬 오브 더 유니버시티 오브 토론토 | Accelerator for deep neural networks |
EP3469522A4 (en) * | 2016-06-14 | 2020-03-18 | The Governing Council of the University of Toronto | Accelerator for deep neural networks |
US10242311B2 (en) * | 2016-08-11 | 2019-03-26 | Vivante Corporation | Zero coefficient skipping convolution neural network engine |
US10891538B2 (en) * | 2016-08-11 | 2021-01-12 | Nvidia Corporation | Sparse convolutional neural network accelerator |
US10360163B2 (en) * | 2016-10-27 | 2019-07-23 | Google Llc | Exploiting input data sparsity in neural network compute units |
US10175980B2 (en) * | 2016-10-27 | 2019-01-08 | Google Llc | Neural network compute tile |
US11003985B2 (en) * | 2016-11-07 | 2021-05-11 | Electronics And Telecommunications Research Institute | Convolutional neural network system and operation method thereof |
JP6961011B2 (en) * | 2016-12-09 | 2021-11-05 | ベイジン ホライズン インフォメーション テクノロジー カンパニー リミテッド | Systems and methods for data management |
US10521488B1 (en) * | 2016-12-30 | 2019-12-31 | X Development Llc | Dynamic partitioning |
US10096134B2 (en) * | 2017-02-01 | 2018-10-09 | Nvidia Corporation | Data compaction and memory bandwidth reduction for sparse neural networks |
US10467795B2 (en) * | 2017-04-08 | 2019-11-05 | Intel Corporation | Sub-graph in frequency domain and dynamic selection of convolution implementation on a GPU |
US10127494B1 (en) * | 2017-08-02 | 2018-11-13 | Google Llc | Neural network crossbar stack |
CN107688850B (en) * | 2017-08-08 | 2021-04-13 | 赛灵思公司 | Deep neural network compression method |
WO2019108963A1 (en) * | 2017-12-01 | 2019-06-06 | MemSQL Inc. | Accelerated filtering, grouping and aggregation in a database system |
-
2019
- 2019-02-15 KR KR1020207023816A patent/KR20200118815A/en not_active Application Discontinuation
- 2019-02-15 WO PCT/CA2019/050187 patent/WO2019157599A1/en active Application Filing
- 2019-02-15 SG SG11202007532TA patent/SG11202007532TA/en unknown
- 2019-02-15 CN CN201980014141.XA patent/CN111742331B/en active Active
- 2019-02-15 CA CA3090329A patent/CA3090329C/en active Active
- 2019-02-15 US US16/968,678 patent/US20210004668A1/en active Pending
- 2019-02-15 JP JP2020543300A patent/JP7349438B2/en active Active
Also Published As
Publication number | Publication date |
---|---|
CA3090329C (en) | 2021-07-27 |
CN111742331A (en) | 2020-10-02 |
US20210004668A1 (en) | 2021-01-07 |
WO2019157599A1 (en) | 2019-08-22 |
JP7349438B2 (en) | 2023-09-22 |
CN111742331B (en) | 2024-09-24 |
KR20200118815A (en) | 2020-10-16 |
CA3090329A1 (en) | 2019-08-22 |
JP2021515300A (en) | 2021-06-17 |
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