Low-power wireless MCU devices for intelligent IoT applications are one of the key drivers for embedded non-volatile memory (eNVM) for technology nodes of 2xnm and beyond; in addition to high-performance advanced CMOS processes with excellent RF/analog devices, there is a need for high read throughput high-density embedded non-volatile memory to store CPU code as well as neural-network models for energy-efficient data-centric machine-learning edge computing. For this purpose, fully logic-compatible TMO-based resistive RAM (RRAM) is a promising candidate [1–3]. In this work, a 32Mb RRAM macro with 0.0249 μ m² bit cells is implemented using a 12nm ultra-low power FinFET technology. Several design solutions are also proposed to address key challenges, including a write-assist scheme to achieve high write endurance and data retention and a pipeline-read scheme for high read throughput. Silicon measurements show 10,000 write-cycle endurance, 10-year retention at 105∘C, and a 3.2GB/s read throughput.
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Huang et al. (2024) studied this question.
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