001     1038894
005     20250414120457.0
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037 _ _ |a FZJ-2025-01705
100 1 _ |a Yu, Jiaao
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111 2 _ |a 2024 31st IEEE International Conference on Electronics, Circuits and Systems (ICECS)
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|d 2024-11-18 - 2024-11-20
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245 _ _ |a A Memristor Variation-Aware Analog Memristor Programming Circuit for Associative Memories
260 _ _ |c 2024
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520 _ _ |a In the emerging realm such as in-memory computing and associative memories, the application of memristors necessitates the development of high-performance programming circuits for effective weight updates. The conventional Program-Verify (PV) method requires complex memory peripherals and data converters, which is a major bottleneck for area and power efficiency. Moreover, memristor variability critically undermines the efficacy of AI applications utilizing memristive technology. Addressing these challenges, this paper introduces a novel analog memristor programming circuit that takes memristor variations into account. Leveraging the TSMC 28nm process PDK and the JART VCM vlb var memristor model for simulations, our circuit achieves ±1 µS error margin for over 98.5% of programming results without using ADCs. When contrasted with preceding studies, the proposed solution not only reduces the programming settling time by 15.0% to 87.5% but also exhibits comparable performance to the PV method designed with the same semiconductor and memristor technology.
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536 _ _ |a 5233 - Memristive Materials and Devices (POF4-523)
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700 1 _ |a Manea, Paul
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700 1 _ |a Hizzani, Mohammad
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700 1 _ |a Strachan, John Paul
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770 _ _ |z 979-8-3503-7721-7
773 _ _ |a 10.1109/ICECS61496.2024.10848806
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|t 2024 31st IEEE International Conference on Electronics, Circuits and Systems (ICECS)
856 4 _ |u https://ieeexplore.ieee.org/abstract/document/10848806
856 4 _ |u https://juser.fz-juelich.de/record/1038894/files/A_Memristor_Variation-Aware_Analog_Memristor_Programming_Circuit_for_Associative_Memories.pdf
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