JP2020537785A5 - - Google Patents
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- JP2020537785A5 JP2020537785A5 JP2020521412A JP2020521412A JP2020537785A5 JP 2020537785 A5 JP2020537785 A5 JP 2020537785A5 JP 2020521412 A JP2020521412 A JP 2020521412A JP 2020521412 A JP2020521412 A JP 2020521412A JP 2020537785 A5 JP2020537785 A5 JP 2020537785A5
- Authority
- JP
- Japan
- Prior art keywords
- neural network
- network accelerator
- accelerator
- interface
- host computer
- 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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- 238000013528 artificial neural network Methods 0.000 description 11
- 238000010801 machine learning Methods 0.000 description 4
- 239000011159 matrix material Substances 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US15/785,800 | 2017-10-17 | ||
| US15/785,800 US11620490B2 (en) | 2017-10-17 | 2017-10-17 | Multi-layer neural network processing by a neural network accelerator using host communicated merged weights and a package of per-layer instructions |
| PCT/US2018/056112 WO2019079319A1 (en) | 2017-10-17 | 2018-10-16 | NEURONAL MULTICOUCHE NETWORK PROCESSING BY A NEURONAL NETWORK ACCELERATOR USING CONTAINED HOST COMMUNICATION WEIGHTS AND A LAYERED INSTRUCTION PACKAGE |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2020537785A JP2020537785A (ja) | 2020-12-24 |
| JP2020537785A5 true JP2020537785A5 (https=) | 2021-11-25 |
| JP7196167B2 JP7196167B2 (ja) | 2022-12-26 |
Family
ID=64110172
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2020521412A Active JP7196167B2 (ja) | 2017-10-17 | 2018-10-16 | ホスト通信されるマージされた重みと層単位命令のパッケージとを使用するニューラルネットワークアクセラレータによる多層ニューラルネットワーク処理 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US11620490B2 (https=) |
| EP (1) | EP3698296B1 (https=) |
| JP (1) | JP7196167B2 (https=) |
| KR (1) | KR102578508B1 (https=) |
| CN (1) | CN111226231A (https=) |
| WO (1) | WO2019079319A1 (https=) |
Families Citing this family (26)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11037330B2 (en) * | 2017-04-08 | 2021-06-15 | Intel Corporation | Low rank matrix compression |
| US11386644B2 (en) * | 2017-10-17 | 2022-07-12 | Xilinx, Inc. | Image preprocessing for generalized image processing |
| US10565285B2 (en) * | 2017-12-18 | 2020-02-18 | International Business Machines Corporation | Processor and memory transparent convolutional lowering and auto zero padding for deep neural network implementations |
| US11250107B2 (en) * | 2019-07-15 | 2022-02-15 | International Business Machines Corporation | Method for interfacing with hardware accelerators |
| US11573828B2 (en) * | 2019-09-16 | 2023-02-07 | Nec Corporation | Efficient and scalable enclave protection for machine learning programs |
| US11501145B1 (en) * | 2019-09-17 | 2022-11-15 | Amazon Technologies, Inc. | Memory operation for systolic array |
| KR102463123B1 (ko) * | 2019-11-29 | 2022-11-04 | 한국전자기술연구원 | 뉴럴 네트워크 가속기의 효율적인 제어, 모니터링 및 소프트웨어 디버깅 방법 |
| US12554962B2 (en) * | 2019-12-24 | 2026-02-17 | Intel Corporation | Configurable processor element arrays for implementing convolutional neural networks |
| US11132594B2 (en) * | 2020-01-03 | 2021-09-28 | Capital One Services, Llc | Systems and methods for producing non-standard shaped cards |
| US11182159B2 (en) * | 2020-02-26 | 2021-11-23 | Google Llc | Vector reductions using shared scratchpad memory |
| CN111461316A (zh) * | 2020-03-31 | 2020-07-28 | 中科寒武纪科技股份有限公司 | 计算神经网络的方法、装置、板卡及计算机可读存储介质 |
| CN111461315A (zh) * | 2020-03-31 | 2020-07-28 | 中科寒武纪科技股份有限公司 | 计算神经网络的方法、装置、板卡及计算机可读存储介质 |
| US11783163B2 (en) * | 2020-06-15 | 2023-10-10 | Arm Limited | Hardware accelerator for IM2COL operation |
| KR102860333B1 (ko) * | 2020-06-22 | 2025-09-16 | 삼성전자주식회사 | 가속기, 가속기의 동작 방법 및 이를 포함한 가속기 시스템 |
| KR102859455B1 (ko) * | 2020-08-31 | 2025-09-12 | 삼성전자주식회사 | 가속기, 가속기의 동작 방법 및 이를 포함한 전자 장치 |
| KR102893029B1 (ko) * | 2020-09-11 | 2025-11-27 | 삼성전자주식회사 | 스토리지 장치 및 스토리지 장치의 동작 방법 |
| CN113485762B (zh) * | 2020-09-19 | 2024-07-26 | 广东高云半导体科技股份有限公司 | 用可配置器件卸载计算任务以提高系统性能的方法和装置 |
| US20220108209A1 (en) * | 2020-10-05 | 2022-04-07 | Microsoft Technology Licensing, Llc | Shared memory spaces in data and model parallelism |
| CN112613605A (zh) * | 2020-12-07 | 2021-04-06 | 深兰人工智能(深圳)有限公司 | 神经网络加速控制方法、装置、电子设备及存储介质 |
| US20220179703A1 (en) * | 2020-12-07 | 2022-06-09 | Nvidia Corporation | Application programming interface for neural network computation |
| US20230325648A1 (en) * | 2020-12-10 | 2023-10-12 | Neuronix AI Labs Inc. | Neural networks processing units activation sparsity removal |
| CN112580787B (zh) * | 2020-12-25 | 2023-11-17 | 北京百度网讯科技有限公司 | 神经网络加速器的数据处理方法、装置、设备及存储介质 |
| US12094531B2 (en) * | 2021-01-11 | 2024-09-17 | Micron Technology, Inc. | Caching techniques for deep learning accelerator |
| DE102021202934A1 (de) * | 2021-03-25 | 2022-09-29 | Robert Bosch Gesellschaft mit beschränkter Haftung | Verfolgung mehrerer Objekte mit neuronalen Netzwerken, lokalen Speichern und einem gemeinsamen Speicher |
| CN113326479A (zh) * | 2021-05-28 | 2021-08-31 | 哈尔滨理工大学 | 一种基于fpga的k均值算法的实现方法 |
| CN121902881A (zh) | 2023-04-06 | 2026-04-21 | 墨子国际有限公司 | 用于神经网络加速器的分层片上网络(noc) |
Family Cites Families (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6346825B1 (en) | 2000-10-06 | 2002-02-12 | Xilinx, Inc. | Block RAM with configurable data width and parity for use in a field programmable gate array |
| WO2014204615A2 (en) * | 2013-05-22 | 2014-12-24 | Neurala, Inc. | Methods and apparatus for iterative nonspecific distributed runtime architecture and its application to cloud intelligence |
| US10339041B2 (en) * | 2013-10-11 | 2019-07-02 | Qualcomm Incorporated | Shared memory architecture for a neural simulator |
| US11099918B2 (en) * | 2015-05-11 | 2021-08-24 | Xilinx, Inc. | Accelerating algorithms and applications on FPGAs |
| US10083395B2 (en) * | 2015-05-21 | 2018-09-25 | Google Llc | Batch processing in a neural network processor |
| US10417555B2 (en) * | 2015-05-29 | 2019-09-17 | Samsung Electronics Co., Ltd. | Data-optimized neural network traversal |
| KR102628902B1 (ko) * | 2015-10-28 | 2024-01-24 | 구글 엘엘씨 | 계산 그래프들 프로세싱 |
| US9875104B2 (en) * | 2016-02-03 | 2018-01-23 | Google Llc | Accessing data in multi-dimensional tensors |
| US10891538B2 (en) * | 2016-08-11 | 2021-01-12 | Nvidia Corporation | Sparse convolutional neural network accelerator |
| CN107239823A (zh) | 2016-08-12 | 2017-10-10 | 北京深鉴科技有限公司 | 一种用于实现稀疏神经网络的装置和方法 |
| US10802992B2 (en) * | 2016-08-12 | 2020-10-13 | Xilinx Technology Beijing Limited | Combining CPU and special accelerator for implementing an artificial neural network |
| US10489702B2 (en) * | 2016-10-14 | 2019-11-26 | Intel Corporation | Hybrid compression scheme for efficient storage of synaptic weights in hardware neuromorphic cores |
| US10175980B2 (en) * | 2016-10-27 | 2019-01-08 | Google Llc | Neural network compute tile |
| US10949736B2 (en) * | 2016-11-03 | 2021-03-16 | Intel Corporation | Flexible neural network accelerator and methods therefor |
| JP6961011B2 (ja) * | 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 | データ管理のためのシステム及び方法 |
| GB2568776B (en) * | 2017-08-11 | 2020-10-28 | Google Llc | Neural network accelerator with parameters resident on chip |
-
2017
- 2017-10-17 US US15/785,800 patent/US11620490B2/en active Active
-
2018
- 2018-10-16 KR KR1020207013441A patent/KR102578508B1/ko active Active
- 2018-10-16 EP EP18797373.0A patent/EP3698296B1/en active Active
- 2018-10-16 WO PCT/US2018/056112 patent/WO2019079319A1/en not_active Ceased
- 2018-10-16 JP JP2020521412A patent/JP7196167B2/ja active Active
- 2018-10-16 CN CN201880067687.7A patent/CN111226231A/zh active Pending
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