BR112023026172A2 - Computação em arquitetura de acelerador de aprendizado de máquina baseado em memória - Google Patents
Computação em arquitetura de acelerador de aprendizado de máquina baseado em memóriaInfo
- Publication number
- BR112023026172A2 BR112023026172A2 BR112023026172A BR112023026172A BR112023026172A2 BR 112023026172 A2 BR112023026172 A2 BR 112023026172A2 BR 112023026172 A BR112023026172 A BR 112023026172A BR 112023026172 A BR112023026172 A BR 112023026172A BR 112023026172 A2 BR112023026172 A2 BR 112023026172A2
- Authority
- BR
- Brazil
- Prior art keywords
- machine learning
- computing
- memory
- based machine
- accelerator architecture
- Prior art date
Links
- 238000010801 machine learning Methods 0.000 title abstract 7
- 238000000034 method Methods 0.000 abstract 2
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
- G06N3/065—Analogue means
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06F7/50—Adding; Subtracting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06F7/52—Multiplying; Dividing
- G06F7/523—Multiplying only
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
-
- 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
- G06N3/044—Recurrent networks, e.g. Hopfield 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
- G06N3/045—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
-
- H—ELECTRICITY
- H03—ELECTRONIC CIRCUITRY
- H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
- H03M1/00—Analogue/digital conversion; Digital/analogue conversion
- H03M1/12—Analogue/digital converters
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- Biophysics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Pure & Applied Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Molecular Biology (AREA)
- Artificial Intelligence (AREA)
- Computational Linguistics (AREA)
- Mathematical Physics (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Mathematical Optimization (AREA)
- Neurology (AREA)
- Advance Control (AREA)
- Complex Calculations (AREA)
- Memory System (AREA)
- Microelectronics & Electronic Packaging (AREA)
- Computer Hardware Design (AREA)
- Stored Programmes (AREA)
Abstract
computação em arquitetura de acelerador de aprendizado de máquina baseado em memória. certos aspectos da presente revelação fornecem técnicas para processar dados de modelo de aprendizado de máquina com um acelerador de tarefa de aprendizado de máquina, incluindo: configurar uma ou mais unidades de processamento de sinal (spus) do acelerador de tarefa de aprendizado de máquina para processar um modelo de aprendizado de máquina; fornecer dados de entrada de modelo para uma ou mais spus; processar os dados de entrada de modelo com o modelo de aprendizado de máquina com o uso da uma ou mais spus configuradas; e receber dados de saída da uma ou mais spus configuradas.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US17/359,297 US20220414443A1 (en) | 2021-06-25 | 2021-06-25 | Compute in memory-based machine learning accelerator architecture |
PCT/US2022/073154 WO2022272303A1 (en) | 2021-06-25 | 2022-06-24 | Compute in memory-based machine learning accelerator architecture |
Publications (1)
Publication Number | Publication Date |
---|---|
BR112023026172A2 true BR112023026172A2 (pt) | 2024-03-05 |
Family
ID=82656589
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
BR112023026172A BR112023026172A2 (pt) | 2021-06-25 | 2022-06-24 | Computação em arquitetura de acelerador de aprendizado de máquina baseado em memória |
Country Status (7)
Country | Link |
---|---|
US (1) | US20220414443A1 (pt) |
EP (1) | EP4360002A1 (pt) |
KR (1) | KR20240026450A (pt) |
CN (1) | CN117651952A (pt) |
BR (1) | BR112023026172A2 (pt) |
TW (1) | TW202307739A (pt) |
WO (1) | WO2022272303A1 (pt) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114298297A (zh) * | 2021-11-04 | 2022-04-08 | 清华大学 | 存内计算装置、芯片及电子设备 |
US11935586B2 (en) * | 2022-02-11 | 2024-03-19 | Taiwan Semiconductor Manufacturing Company, Ltd. | Memory device and method for computing-in-memory (CIM) |
CN117616419A (zh) * | 2022-04-29 | 2024-02-27 | 微软技术许可有限责任公司 | 语音识别中的定制显示后处理 |
-
2021
- 2021-06-25 US US17/359,297 patent/US20220414443A1/en active Pending
-
2022
- 2022-06-24 BR BR112023026172A patent/BR112023026172A2/pt unknown
- 2022-06-24 WO PCT/US2022/073154 patent/WO2022272303A1/en active Application Filing
- 2022-06-24 EP EP22744925.3A patent/EP4360002A1/en active Pending
- 2022-06-24 KR KR1020237043526A patent/KR20240026450A/ko unknown
- 2022-06-24 CN CN202280043319.5A patent/CN117651952A/zh active Pending
- 2022-06-27 TW TW111123851A patent/TW202307739A/zh unknown
Also Published As
Publication number | Publication date |
---|---|
WO2022272303A1 (en) | 2022-12-29 |
KR20240026450A (ko) | 2024-02-28 |
CN117651952A (zh) | 2024-03-05 |
US20220414443A1 (en) | 2022-12-29 |
TW202307739A (zh) | 2023-02-16 |
EP4360002A1 (en) | 2024-05-01 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
BR112023026172A2 (pt) | Computação em arquitetura de acelerador de aprendizado de máquina baseado em memória | |
US10346330B2 (en) | Updating virtual machine memory by interrupt handler | |
BR112023015620A2 (pt) | Métodos e aparelhos para suporte de objeto tensor em cargas de trabalho de aprendizagem por máquina | |
US10055136B2 (en) | Maintaining guest input/output tables in swappable memory | |
BR112022012435A2 (pt) | Métodos e aparelho para realizar multiplicação de matriz em um processador de streaming | |
BR112018008737A2 (pt) | método para fornecer módulos de filtro, produto de programa de computador, e aparelho para gerenciamento de processo | |
US9639388B2 (en) | Deferred assignment of devices in virtual machine migration | |
BR112023026704A2 (pt) | Arquitetura de computação em memória (cim) e fluxo de dados que suportam uma rede neural convolucional de profundidade (cnn) | |
CN103886780A (zh) | 一种c语言程序题自动评分系统 | |
Biswas et al. | Nonlinear dynamical systems in modeling and control of infectious disease | |
US9778945B2 (en) | Providing mode-dependent virtual machine function code | |
BR112023019163A2 (pt) | Uso adaptativo de modelos de vídeo para compreensão holística de vídeo | |
Tan et al. | PicoRio: An open-source, RISC-V small-board computer to elevate the RISC-V software ecosystem | |
BR112023012944A2 (pt) | Método de aplicação de um classificador de confiança, e, sistema para aplicação de um classificador de confiança | |
Gallus et al. | Does hydroxychloroquine reduce mortality for COVID-19? | |
Di Tommaso et al. | A novel tool for highly scalable computational pipelines | |
Romanchuk | Dispute on the Ancient Novgorod Dialect in the Context of Varangian-Rus' Discussion. | |
Ter Beek et al. | Formal methods: practical applications and foundations | |
Carmena-Bargueño et al. | TOLEDO: Accelerated Maestro GUI molecular dynamics simulations | |
Song et al. | Validation of the Unplugged Robot Education System Capable of Computerless Coding Education | |
Hofmeister et al. | Influence of identifier length and semantics on the comprehensibility of source code | |
Rittinghaus | ITEC-OS Teaching-Bachelor and Master Theses-Finished Theses-Call Graph Based Instruction Prefetching on Precompiled Executables | |
BR112022003402A2 (pt) | Método implementado por computador, sistema para processar tratamento e dados clínicos e mídia não transitória legível por máquina | |
Bisschop et al. | Bibliography & Indexes | |
Rittinghaus | ITEC-OS Studium und Lehre-Bachelor-and Masterarbeiten-Abgeschlossene Arbeiten-Call Graph Based Instruction Prefetching on Precompiled Executables |