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Prospects for energy-efficient edge computing with integrated HfO₂-based ferroelectric devicesO'Connor, Ian, Cantan, Mayeul, Marchand, Cédric, Vilquin, Bertrand, Slesazeck, Stefan, Breyer, Evelyn T., Mulaosmanovic, Halid, Mikolajick, Thomas, Giraud, Bastien, Noël, Jean-Philippe, Ionescu, Adrian, Igor, Igor 08 December 2021 (has links)
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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Adoption of 2T2C ferroelectric memory cells for logic operationRavsher, Taras, Mulaosmanovic, Halid, Breyer, Evelyn T., Havel, Viktor, Mikolajick, Thomas, Slesazeck, Stefan 17 December 2021 (has links)
A 2T2C ferroelectric memory cell consisting of a select transistor, a read transistor and two ferroelectric capacitors that can be operated either in FeRAM mode or in memristive ferroelectric tunnel junction mode is proposed. The two memory devices can be programmed individually. By performing a combined readout operation, the two stored bits of the memory cells can be combined to perform in-memory logic operation. Moreover, additional input logic signals that are applied as external readout voltage pulses can be used to perform logic operation together with the stored logic states of the ferroelectric capacitors. Electrical characterization results of the logic-in-memory (LiM) functionality is presented.
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