Prospects for energy-efficient edge computing with integrated HfO2-based ferroelectric devices
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Beitragende
Abstract
Edge computing requires highly energy efficient microprocessor units with embedded non-volatile memories to process data at IoT sensor nodes. Ferroelectric non-volatile memory devices are fast, low power and high endurance, and could greatly enhance energy-efficiency and allow flexibility for finer grain logic and memory. This paper will describe the basics of ferroelectric devices for both hysteretic (non-volatile memory) and negative capacitance (steep slope switch) devices, and then project how these can be used in low-power logic cell architectures and fine-grain logic-in-memory (LiM) circuits.
Details
Originalsprache | Englisch |
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Titel | Proceedings of the 2018 26th IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2018 |
Herausgeber (Verlag) | IEEE Computer Society, Washington |
Seiten | 180-183 |
Seitenumfang | 4 |
ISBN (elektronisch) | 9781538647561 |
Publikationsstatus | Veröffentlicht - 19 Feb. 2019 |
Peer-Review-Status | Ja |
Publikationsreihe
Reihe | IEEE/IFIP International Conference on VLSI and System-on-Chip, VLSI-SoC |
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Band | 2018-October |
ISSN | 2324-8432 |
Konferenz
Titel | 2018 IFIP/IEEE 26th International Conference on Very Large Scale Integration |
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Kurztitel | VLSI-SoC 2018 |
Veranstaltungsnummer | 26 |
Dauer | 8 - 10 Oktober 2018 |
Stadt | Verona |
Land | Italien |
Externe IDs
ORCID | /0000-0003-3814-0378/work/142256242 |
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Schlagworte
Ziele für nachhaltige Entwicklung
ASJC Scopus Sachgebiete
Schlagwörter
- Ferroelectric devices, Logic-in-memory, Low-power logic, Non-volatile memory, Steep slope switch