PL4220380T3 - Przyspieszone sprzętowo uczenie maszynowe - Google Patents

Przyspieszone sprzętowo uczenie maszynowe

Info

Publication number
PL4220380T3
PL4220380T3 PL23163158.1T PL23163158T PL4220380T3 PL 4220380 T3 PL4220380 T3 PL 4220380T3 PL 23163158 T PL23163158 T PL 23163158T PL 4220380 T3 PL4220380 T3 PL 4220380T3
Authority
PL
Poland
Prior art keywords
machine learning
hardware accelerated
accelerated machine
hardware
learning
Prior art date
Application number
PL23163158.1T
Other languages
English (en)
Inventor
Jeremy Bruestle
Choong Ng
Original Assignee
Intel Corporation
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 Intel Corporation filed Critical Intel Corporation
Publication of PL4220380T3 publication Critical patent/PL4220380T3/pl

Links

Classifications

    • 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
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/30—Arrangements for executing machine instructions, e.g. instruction decode
    • G06F9/38—Concurrent instruction execution, e.g. pipeline or look ahead
    • G06F9/3885—Concurrent instruction execution, e.g. pipeline or look ahead using a plurality of independent parallel functional units
    • G06F9/3893—Concurrent instruction execution, e.g. pipeline or look ahead using a plurality of independent parallel functional units controlled in tandem, e.g. multiplier-accumulator
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F5/00—Methods or arrangements for data conversion without changing the order or content of the data handled
    • G06F5/01—Methods or arrangements for data conversion without changing the order or content of the data handled for shifting, e.g. justifying, scaling, normalising
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F7/02—Comparing digital values
    • G06F7/023—Comparing digital values adaptive, e.g. self learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F7/38—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation
    • G06F7/48—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using non-contact-making devices, e.g. tube, solid state device; using unspecified devices
    • G06F7/483—Computations with numbers represented by a non-linear combination of denominational numbers, e.g. rational numbers, logarithmic number system or floating-point numbers
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F7/38—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation
    • G06F7/48—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using non-contact-making devices, e.g. tube, solid state device; using unspecified devices
    • G06F7/544—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using non-contact-making devices, e.g. tube, solid state device; using unspecified devices for evaluating functions by calculation
    • G06F7/5443—Sum of products
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F7/76—Arrangements for rearranging, permuting or selecting data according to predetermined rules, independently of the content of the data
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • 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]
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2205/00—Indexing scheme relating to group G06F5/00; Methods or arrangements for data conversion without changing the order or content of the data handled
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2207/00—Indexing scheme relating to methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F2207/38—Indexing scheme relating to groups G06F7/38 - G06F7/575
    • G06F2207/48—Indexing scheme relating to groups G06F7/48 - G06F7/575
    • G06F2207/4802—Special implementations
    • G06F2207/4818—Threshold devices
    • G06F2207/4824—Neural networks
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Mathematical Physics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Biomedical Technology (AREA)
  • Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Medical Informatics (AREA)
  • Nonlinear Science (AREA)
  • Complex Calculations (AREA)
  • Error Detection And Correction (AREA)
  • Advance Control (AREA)
  • Executing Machine-Instructions (AREA)
PL23163158.1T 2016-01-07 2017-01-06 Przyspieszone sprzętowo uczenie maszynowe PL4220380T3 (pl)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201662276169P 2016-01-07 2016-01-07
US15/399,714 US11170294B2 (en) 2016-01-07 2017-01-05 Hardware accelerated machine learning

Publications (1)

Publication Number Publication Date
PL4220380T3 true PL4220380T3 (pl) 2025-01-13

Family

ID=59274447

Family Applications (3)

Application Number Title Priority Date Filing Date
PL21158563.3T PL3893123T3 (pl) 2016-01-07 2017-01-06 Przyspieszone sprzętowo uczenie maszynowe
PL23163158.1T PL4220380T3 (pl) 2016-01-07 2017-01-06 Przyspieszone sprzętowo uczenie maszynowe
PL21208402.4T PL3974959T3 (pl) 2016-01-07 2017-01-06 Przyspieszone sprzętowo uczenie maszynowe

Family Applications Before (1)

Application Number Title Priority Date Filing Date
PL21158563.3T PL3893123T3 (pl) 2016-01-07 2017-01-06 Przyspieszone sprzętowo uczenie maszynowe

Family Applications After (1)

Application Number Title Priority Date Filing Date
PL21208402.4T PL3974959T3 (pl) 2016-01-07 2017-01-06 Przyspieszone sprzętowo uczenie maszynowe

Country Status (5)

Country Link
US (3) US11170294B2 (pl)
EP (4) EP3893123B1 (pl)
ES (3) ES2954562T3 (pl)
PL (3) PL3893123T3 (pl)
WO (1) WO2017120517A1 (pl)

Families Citing this family (63)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9875104B2 (en) 2016-02-03 2018-01-23 Google Llc Accessing data in multi-dimensional tensors
WO2017214728A1 (en) * 2016-06-14 2017-12-21 The Governing Council Of The University Of Toronto Accelerator for deep neural networks
US10685295B1 (en) * 2016-12-29 2020-06-16 X Development Llc Allocating resources for a machine learning model
US10896367B2 (en) * 2017-03-07 2021-01-19 Google Llc Depth concatenation using a matrix computation unit
US10474575B2 (en) 2017-04-10 2019-11-12 Arm Limited Cache-based communication between execution threads of a data processing system
US11164071B2 (en) 2017-04-18 2021-11-02 Samsung Electronics Co., Ltd. Method and apparatus for reducing computational complexity of convolutional neural networks
US10684955B2 (en) 2017-04-21 2020-06-16 Micron Technology, Inc. Memory devices and methods which may facilitate tensor memory access with memory maps based on memory operations
US10817293B2 (en) * 2017-04-28 2020-10-27 Tenstorrent Inc. Processing core with metadata actuated conditional graph execution
US11501139B2 (en) * 2017-05-03 2022-11-15 Intel Corporation Scaling half-precision floating point tensors for training deep neural networks
DE102018110687A1 (de) 2017-05-05 2018-11-08 Intel Corporation Dynamisches Genauigkeitsmanagement für Deep-Learning-Ganzzahlprimitive
US10643297B2 (en) * 2017-05-05 2020-05-05 Intel Corporation Dynamic precision management for integer deep learning primitives
US10809978B2 (en) * 2017-06-02 2020-10-20 Texas Instruments Incorporated Merge sort accelerator
CN111149166B (zh) 2017-07-30 2024-01-09 纽罗布拉德有限公司 基于存储器的分布式处理器架构
GB2567038B (en) * 2017-07-31 2019-09-25 Google Llc Accessing prologue and epilogue data
US10108538B1 (en) * 2017-07-31 2018-10-23 Google Llc Accessing prologue and epilogue data
GB2568776B (en) * 2017-08-11 2020-10-28 Google Llc Neural network accelerator with parameters resident on chip
US11847246B1 (en) * 2017-09-14 2023-12-19 United Services Automobile Association (Usaa) Token based communications for machine learning systems
US10679129B2 (en) * 2017-09-28 2020-06-09 D5Ai Llc Stochastic categorical autoencoder network
US10902318B2 (en) 2017-11-06 2021-01-26 Neuralmagic Inc. Methods and systems for improved transforms in convolutional neural networks
KR102778191B1 (ko) 2017-11-07 2025-03-10 삼성전자주식회사 뉴럴 네트워크의 디컨벌루션 연산을 수행하는 장치 및 방법
US20190156214A1 (en) 2017-11-18 2019-05-23 Neuralmagic Inc. Systems and methods for exchange of data in distributed training of machine learning algorithms
JP2021511576A (ja) * 2018-01-24 2021-05-06 アリババ グループ ホウルディング リミテッド ディープラーニングアクセラレータシステム及びその方法
US10620954B2 (en) * 2018-03-29 2020-04-14 Arm Limited Dynamic acceleration of data processor operations using data-flow analysis
US11144316B1 (en) 2018-04-17 2021-10-12 Ali Tasdighi Far Current-mode mixed-signal SRAM based compute-in-memory for low power machine learning
US12182686B2 (en) 2018-04-30 2024-12-31 International Business Machines Corporation Neural hardware accelerator for parallel and distributed tensor computations
US10592208B2 (en) 2018-05-07 2020-03-17 International Business Machines Corporation Very low precision floating point representation for deep learning acceleration
US11216732B2 (en) 2018-05-31 2022-01-04 Neuralmagic Inc. Systems and methods for generation of sparse code for convolutional neural networks
US10832133B2 (en) 2018-05-31 2020-11-10 Neuralmagic Inc. System and method of executing neural networks
US11449363B2 (en) 2018-05-31 2022-09-20 Neuralmagic Inc. Systems and methods for improved neural network execution
WO2021061172A1 (en) * 2019-09-27 2021-04-01 Neuralmagic Inc. System and method of executing neural networks
US10963787B2 (en) 2018-05-31 2021-03-30 Neuralmagic Inc. Systems and methods for generation of sparse code for convolutional neural networks
KR102607864B1 (ko) * 2018-07-06 2023-11-29 삼성전자주식회사 뉴로모픽 시스템 및 그것의 동작 방법
US10956315B2 (en) 2018-07-24 2021-03-23 Micron Technology, Inc. Memory devices and methods which may facilitate tensor memory access
WO2020046859A1 (en) 2018-08-27 2020-03-05 Neuralmagic Inc. Systems and methods for neural network convolutional layer matrix multiplication using cache memory
CN109543140B (zh) * 2018-09-20 2020-07-10 中国科学院计算技术研究所 一种卷积神经网络加速器
US11636343B2 (en) 2018-10-01 2023-04-25 Neuralmagic Inc. Systems and methods for neural network pruning with accuracy preservation
US11379712B2 (en) 2018-10-09 2022-07-05 Hewlett Packard Enterprise Development Lp Avoiding cycles in neural networks
US11544559B2 (en) 2019-01-08 2023-01-03 Neuralmagic Inc. System and method for executing convolution in a neural network
US11748599B2 (en) * 2019-02-21 2023-09-05 Texas Instruments Incorporated Super-tiling in neural network processing to enable analytics at lower memory speed
US10884707B1 (en) 2019-06-27 2021-01-05 Amazon Technologies, Inc. Transpose operations using processing element array
WO2021026225A1 (en) 2019-08-08 2021-02-11 Neuralmagic Inc. System and method of accelerating execution of a neural network
CN115269717B (zh) 2019-08-22 2023-06-02 华为技术有限公司 存储设备、分布式存储系统以及数据处理方法
US20210064987A1 (en) * 2019-09-03 2021-03-04 Nvidia Corporation Processor and system to convert tensor operations in machine learning
US10915298B1 (en) 2019-10-08 2021-02-09 Ali Tasdighi Far Current mode multiply-accumulate for compute in memory binarized neural networks
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
US11593628B2 (en) 2020-03-05 2023-02-28 Apple Inc. Dynamic variable bit width neural processor
US11347486B2 (en) * 2020-03-27 2022-05-31 Advanced Micro Devices, Inc. Compiler-initiated tile replacement to enable hardware acceleration resources
US12530573B1 (en) 2020-05-19 2026-01-20 Red Hat, Inc. Efficient execution of group-sparsified neural networks
US12412081B2 (en) * 2020-10-26 2025-09-09 Arm Limited Method for permuting dimensions of a multi-dimensional tensor
US11556757B1 (en) 2020-12-10 2023-01-17 Neuralmagic Ltd. System and method of executing deep tensor columns in neural networks
KR102876308B1 (ko) 2021-02-25 2025-10-24 삼성전자주식회사 메모리 매핑 방법 및 장치
KR20220132375A (ko) 2021-03-23 2022-09-30 현대모비스 주식회사 차량 영상의 화소를 분류하는 행렬 곱셈 가속기에 최적화된 임베디드 의미 분할 네트워크 장치
WO2022212916A1 (en) * 2021-04-01 2022-10-06 Giant.Ai, Inc. Hybrid computing architectures with specialized processors to encode/decode latent representations for controlling dynamic mechanical systems
US11494321B1 (en) * 2021-09-30 2022-11-08 Amazon Technologies, Inc. State buffer memloc reshaping
US11960982B1 (en) 2021-10-21 2024-04-16 Neuralmagic, Inc. System and method of determining and executing deep tensor columns in neural networks
KR20230165070A (ko) * 2022-05-26 2023-12-05 에스케이하이닉스 주식회사 메모리 컨트롤러 및 그 동작 방법
CN115759294B (zh) * 2022-11-25 2023-10-24 北京百度网讯科技有限公司 数据处理方法、装置、电子设备及存储介质
KR20240079650A (ko) * 2022-11-29 2024-06-05 삼성전자주식회사 다이렉트 스토리지 기능을 지원하는 스토리지 장치 및 스토리지 시스템
CN117170588B (zh) * 2023-11-01 2024-01-26 北京壁仞科技开发有限公司 用于对张量数据的布局进行转换的方法、设备和介质
US20250291502A1 (en) * 2024-03-13 2025-09-18 Nvidia Corporation Memory management using a register
CN118396060B (zh) * 2024-04-17 2026-01-16 广东工业大学 一种基于混合比特位宽的稀疏卷积加速器
WO2025230527A1 (en) * 2024-05-01 2025-11-06 Intel Corporation Deep neural network accelerator with intermediate storage facilitiating tensor permutation

Family Cites Families (34)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5138695A (en) 1989-10-10 1992-08-11 Hnc, Inc. Systolic array image processing system
DE69132495T2 (de) 1990-03-16 2001-06-13 Texas Instruments Inc., Dallas Verteilter Verarbeitungsspeicher
US5625825A (en) 1993-10-21 1997-04-29 Lsi Logic Corporation Random number generating apparatus for an interface unit of a carrier sense with multiple access and collision detect (CSMA/CD) ethernet data network
US5892697A (en) 1995-12-19 1999-04-06 Brakefield; James Charles Method and apparatus for handling overflow and underflow in processing floating-point numbers
US6216167B1 (en) 1997-10-31 2001-04-10 Nortel Networks Limited Efficient path based forwarding and multicast forwarding
US6571268B1 (en) 1998-10-06 2003-05-27 Texas Instruments Incorporated Multiplier accumulator circuits
US6768992B1 (en) 1999-05-17 2004-07-27 Lynne G. Jolitz Term addressable memory of an accelerator system and method
TW484016B (en) 1999-07-28 2002-04-21 Hitachi Ltd Semiconductor integrated circuit and recording medium
US6285779B1 (en) 1999-08-02 2001-09-04 Trident Microsystems Floating-point complementary depth buffer
ATE404001T1 (de) 2000-09-12 2008-08-15 Ibm System und verfahren zur steuerung des mehrfachdatenverkehrs einer datenvermittlungsstelle
US6891828B2 (en) * 2001-03-12 2005-05-10 Network Excellence For Enterprises Corp. Dual-loop bus-based network switch using distance-value or bit-mask
US7082449B2 (en) 2002-05-03 2006-07-25 Sun Microsystems, Inc. Method and apparatus for generating pseudo-random numbers
US8259121B2 (en) 2002-10-22 2012-09-04 Broadcom Corporation System and method for processing data using a network
US7548892B2 (en) * 2004-04-30 2009-06-16 Microsoft Corporation Processing machine learning techniques using a graphics processing unit
JP2008537265A (ja) 2005-04-21 2008-09-11 ヴァイオリン メモリー インコーポレイテッド 相互接続システム
DE102005021749A1 (de) 2005-05-11 2006-11-16 Fachhochschule Dortmund Verfahren und Vorrichtung zur programmgesteuerten Informationsverarbeitung
US20070005322A1 (en) * 2005-06-30 2007-01-04 Patzer Aaron T System and method for complex programmable breakpoints using a switching network
GB2456775B (en) * 2008-01-22 2012-10-31 Advanced Risc Mach Ltd Apparatus and method for performing permutation operations on data
GB0811057D0 (en) 2008-06-17 2008-07-23 Univ Ulster Artificial neural network architecture
US8090896B2 (en) * 2008-07-03 2012-01-03 Nokia Corporation Address generation for multiple access of memory
US8131659B2 (en) * 2008-09-25 2012-03-06 Microsoft Corporation Field-programmable gate array based accelerator system
JPWO2010106587A1 (ja) 2009-03-18 2012-09-13 パナソニック株式会社 ニューラルネットワークシステム
US7957400B2 (en) 2009-03-26 2011-06-07 Terascale Supercomputing Inc. Hierarchical network topology
US8442927B2 (en) 2009-07-30 2013-05-14 Nec Laboratories America, Inc. Dynamically configurable, multi-ported co-processor for convolutional neural networks
JP5692780B2 (ja) 2010-10-05 2015-04-01 日本電気株式会社 マルチコア型誤り訂正処理システムおよび誤り訂正処理装置
US9141131B2 (en) 2011-08-26 2015-09-22 Cognitive Electronics, Inc. Methods and systems for performing exponentiation in a parallel processing environment
US9153230B2 (en) 2012-10-23 2015-10-06 Google Inc. Mobile speech recognition hardware accelerator
US9323499B2 (en) * 2012-11-15 2016-04-26 Elwha Llc Random number generator functions in memory
US9104474B2 (en) 2012-12-28 2015-08-11 Intel Corporation Variable precision floating point multiply-add circuit
US9691034B2 (en) 2013-05-14 2017-06-27 The Trustees Of Princeton University Machine-learning accelerator (MLA) integrated circuit for extracting features from signals and performing inference computations
US9747547B2 (en) * 2013-10-22 2017-08-29 In2H2 Hardware enhancements to radial basis function with restricted coulomb energy learning and/or k-Nearest Neighbor based neural network classifiers
US10331997B2 (en) 2014-05-07 2019-06-25 Seagate Technology Llc Adaptive configuration of a neural network device
US10116557B2 (en) * 2015-05-22 2018-10-30 Gray Research LLC Directional two-dimensional router and interconnection network for field programmable gate arrays, and other circuits and applications of the router and network
US10452995B2 (en) * 2015-06-29 2019-10-22 Microsoft Technology Licensing, Llc Machine learning classification on hardware accelerators with stacked memory

Also Published As

Publication number Publication date
EP4220380A1 (en) 2023-08-02
ES2954562T3 (es) 2023-11-23
EP3893123B1 (en) 2022-11-16
EP4220380B1 (en) 2024-08-14
EP3974959B1 (en) 2023-06-07
EP3387549A1 (en) 2018-10-17
ES2934979T3 (es) 2023-02-28
WO2017120517A1 (en) 2017-07-13
US11170294B2 (en) 2021-11-09
US20220067522A1 (en) 2022-03-03
EP3974959A1 (en) 2022-03-30
EP4220380C0 (en) 2024-08-14
EP3893123A1 (en) 2021-10-13
US20170200094A1 (en) 2017-07-13
EP3387549A4 (en) 2019-07-24
US20240046088A1 (en) 2024-02-08
EP3387549B1 (en) 2021-02-24
ES2994057T3 (en) 2025-01-16
US11816572B2 (en) 2023-11-14
PL3974959T3 (pl) 2023-08-07
PL3893123T3 (pl) 2023-03-20

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