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An RRAM-based building block for reprogrammable non-uniform sampling ADCs

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2023

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De Gruyter

Zusammenfassung

RRAM devices have recently seen wide-spread adoption into applications such as neural networks and storage elements since their inherent non-volatility and multi-bit-capability renders them a possible candidate for mitigating the von-Neumann bottleneck. Researchers often face difficulties when developing edge devices, since dealing with sensors detecting parameters such as humidity or temperature often requires large and power-consuming ADCs. We propose a possible mitigation, namely using a RRAM device in combination with a comparator circuit to form a basic block for threshold detection. This can be expanded towards programmable non-uniform sampling ADCs, significantly reducing both area and power consumption since significantly smaller bit-resolutions are required. We demonstrate how a comparator circuit designed in 130 nm technology can be reprogrammed by programming the incorporated RRAM device. Our proposed building block consumes 83 µW.

Beschreibung

Vishwakarma, Abhinav; Fritscher, Markus; Hagelauer, Amelie; Reichenbach, Marc (2023): An RRAM-based building block for reprogrammable non-uniform sampling ADCs. it - Information Technology: Vol. 65, No. 1-2. DOI: 10.1515/itit-2023-0021. Berlin: De Gruyter. PISSN: 2196-7032. pp. 39-51. Article

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