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  4. Prospects for energy-efficient edge computing with integrated HfO2-based ferroelectric devices
 
conference paper

Prospects for energy-efficient edge computing with integrated HfO2-based ferroelectric devices

O'Connor, Ian
•
Cantan, Mayeul
•
Marchand, Cedric
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January 1, 2018
Proceedings Of The 2018 26Th Ifip/Ieee International Conference On Very Large Scale Integration (Vlsi-Soc)
26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC)

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.

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