RRAM-based CAM combined with time-domain circuits for hyperdimensional computing
Scientific Reports, 2021 Content addressable memory (CAM) for search and match operations demands high speed and low power for near real-time decision-making across many critical domains. Resistive RAM (RRAM)-based in-memory computing has high potential in realizing an efficient
Yasmin Halawani +5 more
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Impact of laser attacks on the switching behavior of RRAM devices [PDF]
, 2020 The ubiquitous use of critical and private data in electronic format requires reliable and secure embedded systems for IoT devices. In this context, RRAMs (Resistive Random Access Memories) arises as a promising alternative to replace current memory ...
Arumi Delgado, Daniel +7 more
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ENTT/ENTTR: A Family of Improved Emerging NVM-Based Trojan Triggers and Resets
Frontiers in Nanotechnology, 2022 Hardware Trojans in Integrated Circuits (ICs), that are inserted as hostile modifications in the design phase and/or the fabrication phase, are a security threat since the semiconductor manufacturing process is increasingly becoming globalized.
Karthikeyan Nagarajan +2 more
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A Cautionary Note When Looking for a Truly Reconfigurable Resistive RAM PUF
Transactions on Cryptographic Hardware and Embedded Systems, 2018 The reconfigurable physically unclonable function (PUF) is an advanced security hardware primitive, suitable for applications requiring key renewal or similar refresh functions.
Kai-Hsin Chuang +5 more
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RRAM variability and its mitigation schemes [PDF]
, 2016 Emerging technologies such as RRAMs are attracting significant attention due to their tempting characteristics such as high scalability, CMOS compatibility and non-volatility to replace the current conventional memories.
Amat, Esteve +3 more
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Emulating the electrical activity of the neuron using a silicon oxide RRAM cell
Frontiers in Neuroscience, 2016 In recent years, formidable effort has been devoted to exploring the potential of Resistive RAM (RRAM) devices to model key features of biological synapses.
Adnan eMehonic, Anthony eKenyon
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Hardware-Efficient Stochastic Binary CNN Architectures for Near-Sensor Computing
Frontiers in Neuroscience, 2022 With recent advances in the field of artificial intelligence (AI) such as binarized neural networks (BNNs), a wide variety of vision applications with energy-optimized implementations have become possible at the edge.
Vivek Parmar +3 more
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Discussion On Device Structures And Hermetic Encapsulation For SiOx Random Access Memory Operation In Air [PDF]
, 2014 An edge-free structure and hermetic encapsulation technique are presented that enable SiOx-based resistive random-access memory (RRAM) operation in air. A controlled etch study indicates that the switching filament is close to the SiOx surface in devices
Chang, Yao-Feng +6 more
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Design and Analysis of an Ultra-Dense, Low-Leakage, and Fast FeFET-Based Random Access Memory Array
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2019 High static power associated with static random access memory (SRAM) represents a bottleneck in increasing the amount of on-chip memory. Novel, emerging nonvolatile memories such as spintransfer torque magnetic random access memory (STT-RAM), resistive ...
Dayane Reis +11 more
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Spiking Neural Networks for Inference and Learning: A Memristor-based Design Perspective [PDF]
, 2019 On metrics of density and power efficiency, neuromorphic technologies have the potential to surpass mainstream computing technologies in tasks where real-time functionality, adaptability, and autonomy are essential.
Abbott +56 more
core +2 more sources