MemCork: Exploration of Hybrid Memory Architectures for Intermittent Computing at the Edge

Soriano, Theo; Novo, David; Prenat, Guillaume; Pendina, Grégory Di; Benoit, Pascal

doi:10.1109/vlsi-soc54400.2022.9939630

Cited by 2 publications

(2 citation statements)

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“…In recent years, there has been an extraordinary proliferation in the popularity and adoption of edge computing, reaching unprecedented levels [1]. To prolong the longevity of battery-powered devices, energy conservation modes, such as complete power shutdown (normally-off), can be employed to minimize energy consumption during periods of inactivity [2]. Nevertheless, a significant drawback of this technology is the potential loss of data stored in volatile memory, which can result in substantial performance and responsiveness penalties [3].…”

Section: Introductionmentioning

confidence: 99%

“…PCM devices can modulate conductance based on the material phase, which can be switched by applying heat or voltage pulses [17]. These memory devices offer faster write times and lower write voltages than Flash memory [18], which makes it possible to provide instant on/off capabilities for MCUs with near-zero power consumption during the inactive phases [2].…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Introductionmentioning

confidence: 99%