Neuromorphic Computing Using Emerging Synaptic Devices: A Retrospective Summary and an Outlook
In this paper, emerging memory devices are investigated for a promising synaptic device of neuromorphic computing. Because the neuromorphic computing hardware requires high memory density, fast speed, and low power as well as a unique characteristic that simulates the function of learning by imitati...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-09-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/9/9/1414 |
| _version_ | 1797554938179485696 |
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| author | Jaeyoung Park |
| author_facet | Jaeyoung Park |
| author_sort | Jaeyoung Park |
| collection | DOAJ |
| description | In this paper, emerging memory devices are investigated for a promising synaptic device of neuromorphic computing. Because the neuromorphic computing hardware requires high memory density, fast speed, and low power as well as a unique characteristic that simulates the function of learning by imitating the process of the human brain, memristor devices are considered as a promising candidate because of their desirable characteristic. Among them, Phase-change RAM (PRAM) Resistive RAM (ReRAM), Magnetic RAM (MRAM), and Atomic Switch Network (ASN) are selected to review. Even if the memristor devices show such characteristics, the inherent error by their physical properties needs to be resolved. This paper suggests adopting an approximate computing approach to deal with the error without degrading the advantages of emerging memory devices. |
| first_indexed | 2024-03-10T16:40:12Z |
| format | Article |
| id | doaj.art-e0cbd168ebde4abea001dadee0804003 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-10T16:40:12Z |
| publishDate | 2020-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-e0cbd168ebde4abea001dadee08040032023-11-20T12:08:36ZengMDPI AGElectronics2079-92922020-09-0199141410.3390/electronics9091414Neuromorphic Computing Using Emerging Synaptic Devices: A Retrospective Summary and an OutlookJaeyoung Park0School of Computer Science and Electronic Engineering, Handong Global University, Pohang 37554, KoreaIn this paper, emerging memory devices are investigated for a promising synaptic device of neuromorphic computing. Because the neuromorphic computing hardware requires high memory density, fast speed, and low power as well as a unique characteristic that simulates the function of learning by imitating the process of the human brain, memristor devices are considered as a promising candidate because of their desirable characteristic. Among them, Phase-change RAM (PRAM) Resistive RAM (ReRAM), Magnetic RAM (MRAM), and Atomic Switch Network (ASN) are selected to review. Even if the memristor devices show such characteristics, the inherent error by their physical properties needs to be resolved. This paper suggests adopting an approximate computing approach to deal with the error without degrading the advantages of emerging memory devices.https://www.mdpi.com/2079-9292/9/9/1414neuromorphic computingmemristorPRAMReRAMMRAMASN |
| spellingShingle | Jaeyoung Park Neuromorphic Computing Using Emerging Synaptic Devices: A Retrospective Summary and an Outlook Electronics neuromorphic computing memristor PRAM ReRAM MRAM ASN |
| title | Neuromorphic Computing Using Emerging Synaptic Devices: A Retrospective Summary and an Outlook |
| title_full | Neuromorphic Computing Using Emerging Synaptic Devices: A Retrospective Summary and an Outlook |
| title_fullStr | Neuromorphic Computing Using Emerging Synaptic Devices: A Retrospective Summary and an Outlook |
| title_full_unstemmed | Neuromorphic Computing Using Emerging Synaptic Devices: A Retrospective Summary and an Outlook |
| title_short | Neuromorphic Computing Using Emerging Synaptic Devices: A Retrospective Summary and an Outlook |
| title_sort | neuromorphic computing using emerging synaptic devices a retrospective summary and an outlook |
| topic | neuromorphic computing memristor PRAM ReRAM MRAM ASN |
| url | https://www.mdpi.com/2079-9292/9/9/1414 |
| work_keys_str_mv | AT jaeyoungpark neuromorphiccomputingusingemergingsynapticdevicesaretrospectivesummaryandanoutlook |