TWI789546B - 儲存設備、儲存系統及儲存方法 - Google Patents
儲存設備、儲存系統及儲存方法 Download PDFInfo
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- G—PHYSICS
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- G06F12/00—Accessing, addressing or allocating within memory systems or architectures
- G06F12/02—Addressing or allocation; Relocation
- G06F12/0223—User address space allocation, e.g. contiguous or non contiguous base addressing
- G06F12/023—Free address space management
- G06F12/0238—Memory management in non-volatile memory, e.g. resistive RAM or ferroelectric memory
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
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- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0668—Interfaces specially adapted for storage systems adopting a particular infrastructure
- G06F3/0671—In-line storage system
- G06F3/0673—Single storage device
- G06F3/0679—Non-volatile semiconductor memory device, e.g. flash memory, one time programmable memory [OTP]
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0602—Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
- G06F3/0604—Improving or facilitating administration, e.g. storage management
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- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
- G06F3/0638—Organizing or formatting or addressing of data
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- 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
- G06N3/0455—Auto-encoder networks; Encoder-decoder networks
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- 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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- 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
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- 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
- G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
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- 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
- G06N3/09—Supervised learning
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- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
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Applications Claiming Priority (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201862770151P | 2018-11-20 | 2018-11-20 | |
| US62/770,151 | 2018-11-20 | ||
| US16/430,408 US11449268B2 (en) | 2018-11-20 | 2019-06-03 | Deep solid state device (deep-SSD): a neural network based persistent data storage |
| US16/430,408 | 2019-06-03 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| TW202026885A TW202026885A (zh) | 2020-07-16 |
| TWI789546B true TWI789546B (zh) | 2023-01-11 |
Family
ID=70727596
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| TW108132448A TWI789546B (zh) | 2018-11-20 | 2019-09-09 | 儲存設備、儲存系統及儲存方法 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US11449268B2 (https=) |
| JP (1) | JP7272937B2 (https=) |
| KR (1) | KR102592979B1 (https=) |
| CN (1) | CN111198826B (https=) |
| TW (1) | TWI789546B (https=) |
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| US12061971B2 (en) | 2019-08-12 | 2024-08-13 | Micron Technology, Inc. | Predictive maintenance of automotive engines |
| US11042350B2 (en) | 2019-08-21 | 2021-06-22 | Micron Technology, Inc. | Intelligent audio control in vehicles |
| US12497055B2 (en) | 2019-08-21 | 2025-12-16 | Micron Technology, Inc. | Monitoring controller area network bus for vehicle control |
| US12210401B2 (en) | 2019-09-05 | 2025-01-28 | Micron Technology, Inc. | Temperature based optimization of data storage operations |
| US11250648B2 (en) | 2019-12-18 | 2022-02-15 | Micron Technology, Inc. | Predictive maintenance of automotive transmission |
| WO2021214516A1 (en) * | 2020-04-21 | 2021-10-28 | Neural Concept Sa | Radius based neural network operations on sets of points |
| TWI769466B (zh) * | 2020-06-17 | 2022-07-01 | 台達電子工業股份有限公司 | 類神經網路系統及其操作方法 |
| US11429279B2 (en) | 2020-09-16 | 2022-08-30 | Samsung Electronics Co., Ltd. | Automatic data separation and placement for compressed data in a storage device |
| KR102928347B1 (ko) | 2021-02-05 | 2026-02-19 | 삼성전자주식회사 | 스토리지 장치의 신뢰성 정보 예측 방법 및 이를 이용한 스토리지 장치의 구동 방법 |
| US12393830B2 (en) * | 2021-06-15 | 2025-08-19 | Seagate Technology Llc | Deep learning computational storage drive |
| US11893244B2 (en) | 2021-10-12 | 2024-02-06 | Western Digital Technologies, Inc. | Hybrid memory management of non-volatile memory (NVM) devices for use with recurrent neural networks |
| US11755208B2 (en) * | 2021-10-12 | 2023-09-12 | Western Digital Technologies, Inc. | Hybrid memory management of non-volatile memory (NVM) devices for use with recurrent neural networks |
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2019
- 2019-06-03 US US16/430,408 patent/US11449268B2/en active Active
- 2019-09-09 TW TW108132448A patent/TWI789546B/zh active
- 2019-11-13 CN CN201911109232.XA patent/CN111198826B/zh active Active
- 2019-11-14 KR KR1020190145558A patent/KR102592979B1/ko active Active
- 2019-11-20 JP JP2019209473A patent/JP7272937B2/ja active Active
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| US20100318718A1 (en) * | 2009-06-11 | 2010-12-16 | Sean Eilert | Memory device for a hierarchical memory architecture |
| US20160232440A1 (en) * | 2015-02-06 | 2016-08-11 | Google Inc. | Recurrent neural networks for data item generation |
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Also Published As
| Publication number | Publication date |
|---|---|
| JP2020087468A (ja) | 2020-06-04 |
| CN111198826A (zh) | 2020-05-26 |
| KR102592979B1 (ko) | 2023-10-23 |
| US11449268B2 (en) | 2022-09-20 |
| TW202026885A (zh) | 2020-07-16 |
| CN111198826B (zh) | 2025-04-04 |
| US20200159445A1 (en) | 2020-05-21 |
| JP7272937B2 (ja) | 2023-05-12 |
| KR20200059151A (ko) | 2020-05-28 |
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