A ReRAM-based 10T2R SRAM Using Power-off Recovery Function for Reducing Power

Dai, Sheng; Zhang, Yuejun; Zhang, Huihong; Jing, Li; Lin, Ye

doi:10.1109/asicon52560.2021.9620274

Cited by 2 publications

(1 citation statement)

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“…This approach helps to prevent unnecessary write operations on SHE-MTJs when the data stored in the cross-coupled inverters change during continuous power on, thereby improving energy efficiency. The bitcell depicted in Figure 3e adds four clock-controlled power-gating transistors (M9~M12) to save energy, and it adopts the twoends nvSRAM scheme [81][82][83] with two RRAM devices in a bitcell to improve reliability in low-HRS/LRS scenarios through differential sensing [19]. Despite its larger area and energy consumption compared to single-end nvSRAM cells [84][85][86], this configuration offers a superior sense margin and restoration yield for emerging NVM technology.…”

Section: Design Considerations For Nvm In Mcumentioning

confidence: 99%

A Survey of Emerging Memory in a Microcontroller Unit

Qi,

Fan,

Cai

et al. 2024

Micromachines

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In the era of widespread edge computing, energy conservation modes like complete power shutdown are crucial for battery-powered devices, but they risk data loss in volatile memory. Energy autonomous systems, relying on ambient energy, face operational challenges due to power losses. Recent advancements in emerging nonvolatile memories (NVMs) like FRAM, RRAM, MRAM, and PCM offer mature solutions to sustain work progress with minimal energy overhead during outages. This paper thoroughly reviews utilizing emerging NVMs in microcontroller units (MCUs), comparing their key attributes to describe unique benefits and potential applications. Furthermore, we discuss the intricate details of NVM circuit design and NVM-driven compute-in-memory (CIM) architectures. In summary, integrating emerging NVMs into MCUs showcases promising prospects for next-generation applications such as Internet of Things and neural networks.

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