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Advances in Emerging Memory Technologies: From Data Storage to Artificial Intelligence
Applied Sciences, 2021 This paper presents an overview of emerging memory technologies. It begins with the presentation of stand-alone and embedded memory technology evolution, since the appearance of Flash memory in the 1980s.
Gabriel Molas, Etienne Nowak
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A Survey of Emerging Memory in a Microcontroller Unit [PDF]
MicromachinesIn 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.
Longning Qi, Jinqi Fan, Hao Cai, Ze Fang
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BEOL Process Effects on ePCM Reliability
IEEE Journal of the Electron Devices Society, 2022 The effect of back-end of line (BEOL) process on cell performance and reliability of Phase-Change Memory embedded in a 28nm FD-SOI platform (ePCM) is discussed.
A. Redaelli +36 more
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A Software-Circuit-Device Co-Optimization Framework for Neuromorphic Inference Circuits
IEEE Access, 2022 Neuromorphic circuits, which usually use analog computation for vector-matrix multiplication (VMM) in neural networks (NN), are promising machine learning accelerators with much lower latency and power consumption than digital ones. Analog computation is
Paul Quibuyen, Tom Jiao, Hiu Yung Wong
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TCAD Simulation Studies on Ultra-Low-Power Non-Volatile Memory
Micromachines, 2023 Ultra-Low-Power Non-Volatile Memory (UltraRAM), as a promising storage device, has attracted wide research attention from the scientific community. Non-volatile data retention in combination with switching at ≤2.6 V is achieved through the use of the ...
Ziming Xu +5 more
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Device Variation Effects on Neural Network Inference Accuracy in Analog In‐Memory Computing Systems
Advanced Intelligent Systems, 2022 In analog in‐memory computing systems based on nonvolatile memories such as resistive random‐access memory (RRAM), neural network models are often trained offline and then the weights are programmed onto memory devices as conductance values.
Qiwen Wang, Yongmo Park, Wei D. Lu
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Memory Devices for Flexible and Neuromorphic Device Applications
Advanced Intelligent Systems, 2021 Recently, consumer electronics have moved toward data‐centric applications due to the development of smart electronic devices. Moreover, electronic devices have become highly portable, wearable, and lightweight.
Dongshin Kim, Ik-Jyae Kim, Jang-Sik Lee
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In-Memory Computation Based Mapping of Keccak-f Hash Function
Frontiers in Nanotechnology, 2022 Cryptographic hash functions play a central role in data security for applications such as message authentication, data verification, and detecting malicious or illegal modification of data.
Sandeep Kaur Kingra +2 more
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In-memory computing with emerging memory devices: Status and outlook
APL Machine Learning, 2023 In-memory computing (IMC) has emerged as a new computing paradigm able to alleviate or suppress the memory bottleneck, which is the major concern for energy efficiency and latency in modern digital computing. While the IMC concept is simple and promising,
P. Mannocci +6 more
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A survey on processing-in-memory techniques: Advances and challenges
Memories - Materials, Devices, Circuits and Systems, 2023 Processing-in-memory (PIM) techniques have gained much attention from computer architecture researchers, and significant research effort has been invested in exploring and developing such techniques.
Kazi Asifuzzaman +4 more
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