KR102808233B1 - 고유한 연산 파라미터 검증을 통해 다수의 연산들을 실행하기 위한 단일 함수 - Google Patents

고유한 연산 파라미터 검증을 통해 다수의 연산들을 실행하기 위한 단일 함수 Download PDF

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KR102808233B1
KR102808233B1 KR1020237039307A KR20237039307A KR102808233B1 KR 102808233 B1 KR102808233 B1 KR 102808233B1 KR 1020237039307 A KR1020237039307 A KR 1020237039307A KR 20237039307 A KR20237039307 A KR 20237039307A KR 102808233 B1 KR102808233 B1 KR 102808233B1
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세드릭 리히테나우
조나단 브래드버리
레이스 앨바라캇
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인터내셔널 비지네스 머신즈 코포레이션
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    • 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
    • G—PHYSICS
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    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • 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
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    • 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
    • G06F9/30181—Instruction operation extension or modification
    • G06F9/30185—Instruction operation extension or modification according to one or more bits in the instruction, e.g. prefix, sub-opcode
    • 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
    • G06F9/30181—Instruction operation extension or modification
    • G06F9/30189—Instruction operation extension or modification according to execution mode, e.g. mode flag
    • 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

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KR1020237039307A 2021-06-17 2022-06-09 고유한 연산 파라미터 검증을 통해 다수의 연산들을 실행하기 위한 단일 함수 Active KR102808233B1 (ko)

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US17/350,550 2021-06-17
US17/350,550 US11797270B2 (en) 2021-06-17 2021-06-17 Single function to perform multiple operations with distinct operation parameter validation
PCT/EP2022/065660 WO2022263277A1 (en) 2021-06-17 2022-06-09 Single function to perform multiple operations with distinct operation parameter validation

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KR102808233B1 true KR102808233B1 (ko) 2025-05-14

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CN (1) CN117396846A (enExample)
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US11656851B2 (en) * 2021-10-22 2023-05-23 Microsoft Technology Licensing, Llc. Long-range modeling of source code files by syntax hierarchy
KR102899545B1 (ko) * 2023-12-26 2025-12-12 서울대학교산학협력단 텐서 데이터 이동 방법 및 장치

Family Cites Families (73)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5761105A (en) 1995-09-26 1998-06-02 Advanced Micro Devices, Inc. Reservation station including addressable constant store for a floating point processing unit
US8291003B2 (en) 2008-09-09 2012-10-16 International Business Machines Corporation Supporting multiple formats in a floating point processor
US9223687B2 (en) 2012-06-15 2015-12-29 International Business Machines Corporation Determining the logical address of a transaction abort
US9286130B2 (en) 2012-08-27 2016-03-15 International Business Machines Corporation Optimizing virtual machine deployment time by temporarily allocating more processing resources during the initial deployment time of the virtual machine
US10623386B1 (en) 2012-09-26 2020-04-14 Pure Storage, Inc. Secret sharing data protection in a storage system
US9201629B2 (en) 2013-03-14 2015-12-01 International Business Machines Corporation Instruction for performing a pseudorandom number seed operation
US9582295B2 (en) * 2014-03-18 2017-02-28 International Business Machines Corporation Architectural mode configuration
US9916185B2 (en) * 2014-03-18 2018-03-13 International Business Machines Corporation Managing processing associated with selected architectural facilities
US10061824B2 (en) 2015-01-30 2018-08-28 Splunk Inc. Cell-based table manipulation of event data
US9747546B2 (en) 2015-05-21 2017-08-29 Google Inc. Neural network processor
US10460230B2 (en) 2015-06-04 2019-10-29 Samsung Electronics Co., Ltd. Reducing computations in a neural network
US9710401B2 (en) 2015-06-26 2017-07-18 Intel Corporation Processors, methods, systems, and instructions to support live migration of protected containers
US10728169B1 (en) 2015-06-26 2020-07-28 Amazon Technologies, Inc. Instance upgrade migration
US9940101B2 (en) 2015-08-25 2018-04-10 Samsung Electronics Co., Ltd. Tininess prediction and handler engine for smooth handling of numeric underflow
US10726328B2 (en) 2015-10-09 2020-07-28 Altera Corporation Method and apparatus for designing and implementing a convolution neural net accelerator
US10552370B2 (en) 2015-10-08 2020-02-04 Via Alliance Semiconductor Co., Ltd. Neural network unit with output buffer feedback for performing recurrent neural network computations
US9569277B1 (en) 2016-01-29 2017-02-14 International Business Machines Corporation Rebalancing virtual resources for virtual machines based on multiple resource capacities
US10778707B1 (en) 2016-05-12 2020-09-15 Amazon Technologies, Inc. Outlier detection for streaming data using locality sensitive hashing
US10891538B2 (en) 2016-08-11 2021-01-12 Nvidia Corporation Sparse convolutional neural network accelerator
US10810484B2 (en) 2016-08-12 2020-10-20 Xilinx, Inc. Hardware accelerator for compressed GRU on FPGA
US10802992B2 (en) 2016-08-12 2020-10-13 Xilinx Technology Beijing Limited Combining CPU and special accelerator for implementing an artificial neural network
US10175980B2 (en) 2016-10-27 2019-01-08 Google Llc Neural network compute tile
US9959498B1 (en) 2016-10-27 2018-05-01 Google Llc Neural network instruction set architecture
US9785435B1 (en) * 2016-10-27 2017-10-10 International Business Machines Corporation Floating point instruction with selectable comparison attributes
US10037490B2 (en) 2016-12-13 2018-07-31 Google Llc Performing average pooling in hardware
US10120680B2 (en) 2016-12-30 2018-11-06 Intel Corporation Systems, apparatuses, and methods for arithmetic recurrence
CN118134744A (zh) 2017-04-07 2024-06-04 英特尔公司 用于多处理器平台上的深度学习网络执行流水线的方法和装置
WO2018193352A1 (en) 2017-04-17 2018-10-25 Cerebras Systems Inc. Dataflow triggered tasks for accelerated deep learning
CN107704922B (zh) 2017-04-19 2020-12-08 赛灵思公司 人工神经网络处理装置
US12154028B2 (en) 2017-05-05 2024-11-26 Intel Corporation Fine-grain compute communication execution for deep learning frameworks via hardware accelerated point-to-point primitives
US10338925B2 (en) 2017-05-24 2019-07-02 Microsoft Technology Licensing, Llc Tensor register files
US11216437B2 (en) 2017-08-14 2022-01-04 Sisense Ltd. System and method for representing query elements in an artificial neural network
US10642835B2 (en) 2017-08-14 2020-05-05 Sisense Ltd. System and method for increasing accuracy of approximating query results using neural networks
US10558599B2 (en) 2017-09-12 2020-02-11 Nxp Usa, Inc. Method and apparatus for loading a matrix into an accelerator
CN109543826A (zh) 2017-09-21 2019-03-29 杭州海康威视数字技术股份有限公司 一种基于深度神经网络的激活量量化方法及装置
KR102610820B1 (ko) 2017-09-27 2023-12-06 삼성전자주식회사 뉴럴 네트워크 시스템 및 뉴럴 네트워크 시스템의 동작방법
GB2568087B (en) 2017-11-03 2022-07-20 Imagination Tech Ltd Activation functions for deep neural networks
US11373088B2 (en) 2017-12-30 2022-06-28 Intel Corporation Machine learning accelerator mechanism
MX2020007385A (es) 2018-01-10 2020-11-24 Lynjohnston Llc Sistemas y metodos de inyector compacto.
US10832137B2 (en) 2018-01-30 2020-11-10 D5Ai Llc Merging multiple nodal networks
WO2019157599A1 (en) 2018-02-16 2019-08-22 The Governing Council Of The University Of Toronto Neural network accelerator
US10552199B2 (en) 2018-02-26 2020-02-04 Nutanix, Inc. System and method for binary throttling for live migration of virtual machines
US20200074293A1 (en) 2018-08-29 2020-03-05 DinoplusAI Holdings Limited Computing Device for Multiple Activation Functions in Neural Networks
US20190340499A1 (en) 2018-05-04 2019-11-07 Microsoft Technology Licensing, Llc Quantization for dnn accelerators
US10656913B2 (en) 2018-06-05 2020-05-19 International Business Machines Corporation Enhanced low precision binary floating-point formatting
US10620951B2 (en) 2018-06-22 2020-04-14 Intel Corporation Matrix multiplication acceleration of sparse matrices using column folding and squeezing
US10832139B2 (en) 2018-06-22 2020-11-10 Moffett Technologies Co. Limited Neural network acceleration and embedding compression systems and methods with activation sparsification
US10908906B2 (en) 2018-06-29 2021-02-02 Intel Corporation Apparatus and method for a tensor permutation engine
CN109146072B (zh) 2018-08-01 2021-03-23 上海天数智芯半导体有限公司 基于卷积神经网络加速器的数据重用方法
US10885277B2 (en) 2018-08-02 2021-01-05 Google Llc On-device neural networks for natural language understanding
US11455370B2 (en) 2018-11-19 2022-09-27 Groq, Inc. Flattened input stream generation for convolution with expanded kernel
US10817042B2 (en) 2018-09-27 2020-10-27 Intel Corporation Power savings for neural network architecture with zero activations during inference
US11861484B2 (en) 2018-09-28 2024-01-02 Qualcomm Incorporated Neural processing unit (NPU) direct memory access (NDMA) hardware pre-processing and post-processing
US11676003B2 (en) 2018-12-18 2023-06-13 Microsoft Technology Licensing, Llc Training neural network accelerators using mixed precision data formats
US10699465B1 (en) 2018-12-28 2020-06-30 Intel Corporation Cluster of scalar engines to accelerate intersection in leaf node
US20200218985A1 (en) 2019-01-03 2020-07-09 Alibaba Group Holding Limited System and method for synthetic-model-based benchmarking of ai hardware
US11645358B2 (en) 2019-01-29 2023-05-09 Hewlett Packard Enterprise Development Lp Generation of executable files corresponding to neural network models
US12165038B2 (en) 2019-02-14 2024-12-10 Microsoft Technology Licensing, Llc Adjusting activation compression for neural network training
US11157240B2 (en) 2019-02-15 2021-10-26 International Business Machines Corporation Perform cryptographic computation scalar multiply instruction
US11442700B2 (en) 2019-03-29 2022-09-13 Stmicroelectronics S.R.L. Hardware accelerator method, system and device
US10789402B1 (en) 2019-05-01 2020-09-29 Xilinx, Inc. Compiler and hardware abstraction layer architecture for a neural network accelerator
US11366771B2 (en) 2019-05-02 2022-06-21 EMC IP Holding Company LLC Host device with multi-path layer configured for detection and resolution of initiator-related conditions
US11790250B2 (en) 2019-05-09 2023-10-17 Intel Corporation Using computational cost and instantaneous load analysis for intelligent deployment of neural networks on multiple hardware executors
CN110197260B (zh) 2019-06-06 2020-10-02 百度在线网络技术（北京）有限公司 一种数据处理方法及装置
US11714572B2 (en) 2019-06-19 2023-08-01 Pure Storage, Inc. Optimized data resiliency in a modular storage system
TWI701612B (zh) 2019-06-19 2020-08-11 創鑫智慧股份有限公司 用於神經網路中激勵函數的電路系統及其處理方法
US11907827B2 (en) 2019-06-28 2024-02-20 Intel Corporation Schedule-aware tensor distribution module
US20190392296A1 (en) 2019-06-28 2019-12-26 John Brady Hardware agnostic deep neural network compiler
US11568238B2 (en) 2019-06-28 2023-01-31 Amazon Technologies, Inc. Dynamic processing element array expansion
US11630770B2 (en) 2019-07-11 2023-04-18 Meta Platforms Technologies, Llc Systems and methods for reading and writing sparse data in a neural network accelerator
US11567555B2 (en) 2019-08-30 2023-01-31 Intel Corporation Software assisted power management
US11727267B2 (en) 2019-08-30 2023-08-15 Intel Corporation Artificial neural network with trainable activation functions and fractional derivative values
US11797188B2 (en) 2019-12-12 2023-10-24 Sk Hynix Nand Product Solutions Corp. Solid state drive with multiplexed internal channel access during program data transfers

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KR20230169346A (ko) 2023-12-15
EP4356241A1 (en) 2024-04-24
WO2022263277A1 (en) 2022-12-22
JP2024523098A (ja) 2024-06-28
US11797270B2 (en) 2023-10-24
US20220405050A1 (en) 2022-12-22
AU2022293937B2 (en) 2025-01-30
AU2022293937A1 (en) 2023-11-09
CN117396846A (zh) 2024-01-12
TWI832214B (zh) 2024-02-11
JP7812601B2 (ja) 2026-02-10
CA3215152A1 (en) 2022-12-22
TW202301151A (zh) 2023-01-01

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