JP7812601B2 - 個別の演算パラメータのバリデーションを伴う複数の演算を実行するための単一関数 - Google Patents
個別の演算パラメータのバリデーションを伴う複数の演算を実行するための単一関数Info
- Publication number
- JP7812601B2 JP7812601B2 JP2023564573A JP2023564573A JP7812601B2 JP 7812601 B2 JP7812601 B2 JP 7812601B2 JP 2023564573 A JP2023564573 A JP 2023564573A JP 2023564573 A JP2023564573 A JP 2023564573A JP 7812601 B2 JP7812601 B2 JP 7812601B2
- Authority
- JP
- Japan
- Prior art keywords
- function
- dimension
- value
- tensor
- values
- 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.)
- Active
Links
Classifications
-
- 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
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- 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
- G06F7/5443—Sum of products
-
- 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
- G06F9/30185—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
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Optimization (AREA)
- Computational Mathematics (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Analysis (AREA)
- Mathematical Physics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computing Systems (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Databases & Information Systems (AREA)
- Bioinformatics & Computational Biology (AREA)
- Algebra (AREA)
- Probability & Statistics with Applications (AREA)
- Operations Research (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Artificial Intelligence (AREA)
- Computational Linguistics (AREA)
- Molecular Biology (AREA)
- General Health & Medical Sciences (AREA)
- Evolutionary Computation (AREA)
- Neurology (AREA)
- Executing Machine-Instructions (AREA)
- Complex Calculations (AREA)
- Electrophonic Musical Instruments (AREA)
- Electrotherapy Devices (AREA)
- Dram (AREA)
- Calculators And Similar Devices (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| 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 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2024523098A JP2024523098A (ja) | 2024-06-28 |
| JP2024523098A5 JP2024523098A5 (enExample) | 2025-10-27 |
| JP7812601B2 true JP7812601B2 (ja) | 2026-02-10 |
Family
ID=82321453
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2023564573A Active JP7812601B2 (ja) | 2021-06-17 | 2022-06-09 | 個別の演算パラメータのバリデーションを伴う複数の演算を実行するための単一関数 |
Country Status (9)
| Country | Link |
|---|---|
| US (1) | US11797270B2 (enExample) |
| EP (1) | EP4356241A1 (enExample) |
| JP (1) | JP7812601B2 (enExample) |
| KR (1) | KR102808233B1 (enExample) |
| CN (1) | CN117396846A (enExample) |
| AU (1) | AU2022293937B2 (enExample) |
| CA (1) | CA3215152A1 (enExample) |
| TW (1) | TWI832214B (enExample) |
| WO (1) | WO2022263277A1 (enExample) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016517561A (ja) | 2013-03-14 | 2016-06-16 | インターナショナル・ビジネス・マシーンズ・コーポレーションInternational Business Machines Corporation | 擬似乱数シード操作を実施するための命令 |
| WO2020165335A1 (en) | 2019-02-15 | 2020-08-20 | International Business Machines Corporation | Perform cryptographic computation scalar multiply instruction |
Family Cites Families (71)
| 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 |
| 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 |
| 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 |
-
2021
- 2021-06-17 US US17/350,550 patent/US11797270B2/en active Active
-
2022
- 2022-04-19 TW TW111114765A patent/TWI832214B/zh active
- 2022-06-09 KR KR1020237039307A patent/KR102808233B1/ko active Active
- 2022-06-09 JP JP2023564573A patent/JP7812601B2/ja active Active
- 2022-06-09 AU AU2022293937A patent/AU2022293937B2/en active Active
- 2022-06-09 WO PCT/EP2022/065660 patent/WO2022263277A1/en not_active Ceased
- 2022-06-09 CN CN202280038619.4A patent/CN117396846A/zh active Pending
- 2022-06-09 EP EP22735336.4A patent/EP4356241A1/en active Pending
- 2022-06-09 CA CA3215152A patent/CA3215152A1/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016517561A (ja) | 2013-03-14 | 2016-06-16 | インターナショナル・ビジネス・マシーンズ・コーポレーションInternational Business Machines Corporation | 擬似乱数シード操作を実施するための命令 |
| WO2020165335A1 (en) | 2019-02-15 | 2020-08-20 | International Business Machines Corporation | Perform cryptographic computation scalar multiply instruction |
Also Published As
| Publication number | Publication date |
|---|---|
| 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 |
| CA3215152A1 (en) | 2022-12-22 |
| TW202301151A (zh) | 2023-01-01 |
| KR102808233B1 (ko) | 2025-05-14 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP2024522737A (ja) | 行列乗算演算とバイアス加算演算を組み合わせて実行する単一関数 | |
| JP7827744B2 (ja) | 暗黙の丸めモードを使用する選択されたデータ型との間でのデータ変換 | |
| TWI833205B (zh) | 用於遞歸神經網路中使用之串連輸入/輸出張量 | |
| JP7833247B2 (ja) | サブテンソルを提供するためのテンソルの再フォーマット | |
| TWI807767B (zh) | 神經網路處理輔助指令 | |
| JP7812601B2 (ja) | 個別の演算パラメータのバリデーションを伴う複数の演算を実行するための単一関数 | |
| US12008395B2 (en) | Program event recording storage alteration processing for a neural network accelerator instruction | |
| JP7833249B2 (ja) | 単一の起動において複数の動作を実行するためのリカレントニューラルネットワークセル活性化 | |
| JP2024523098A5 (enExample) | ||
| JP2024523880A (ja) | 畳み込み演算と選択演算を組み合わせて実行する単一関数 | |
| TWI804285B (zh) | 查詢模型相依資訊之指令 | |
| TW202301112A (zh) | 用於在指令執行期間偵測之無效值之例外摘要 | |
| HK40099076A (zh) | 具有不同操作参数验证的执行多个操作的单个功能 |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20240109 |
|
| A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20241114 |
|
| A977 | Report on retrieval |
Free format text: JAPANESE INTERMEDIATE CODE: A971007 Effective date: 20250829 |
|
| A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20250909 |
|
| A524 | Written submission of copy of amendment under article 19 pct |
Free format text: JAPANESE INTERMEDIATE CODE: A524 Effective date: 20251016 |
|
| TRDD | Decision of grant or rejection written | ||
| A01 | Written decision to grant a patent or to grant a registration (utility model) |
Free format text: JAPANESE INTERMEDIATE CODE: A01 Effective date: 20260113 |
|
| RD14 | Notification of resignation of power of sub attorney |
Free format text: JAPANESE INTERMEDIATE CODE: A7434 Effective date: 20260120 |
|
| A61 | First payment of annual fees (during grant procedure) |
Free format text: JAPANESE INTERMEDIATE CODE: A61 Effective date: 20260127 |
|
| R150 | Certificate of patent or registration of utility model |
Ref document number: 7812601 Country of ref document: JP Free format text: JAPANESE INTERMEDIATE CODE: R150 |