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The Role of Hydrogen in ReRAM [PDF]
Advanced MaterialsPrevious research on transistor gate oxides reveals a clear link between hydrogen content and oxide breakdown. This has implications for redox-based resistive random access memory (ReRAM) devices, which exploit soft, reversible, dielectric breakdown, as ...
Horatio R J Cox +2 more
exaly +8 more sources
TCAD Simulation of Resistive Switching Devices: Impact of ReRAM Configuration on Neuromorphic Computing [PDF]
NanomaterialsThis paper presents a method for modeling ReRAM in TCAD and validating its accuracy for neuromorphic systems. The data obtained from TCAD are used to analyze the accuracy of the neuromorphic system.
Seonggyeom Kim, Jonghwan Lee
doaj +3 more sources
EnTiered-ReRAM: An Enhanced Low Latency and Energy Efficient TLC Crossbar ReRAM Architecture [PDF]
IEEE Access, 2021 Resistive Random Access Memory (ReRAM) is promising to be employed as high density storage-class memory due to its crossbar array and Triple-Level Cell (TLC) structures.
Yang Zhang +4 more
doaj +2 more sources
Thermal Heating in ReRAM Crossbar Arrays: Challenges and Solutions
IEEE Open Journal of Circuits and Systems, 2023 The high speed, scalability, and parallelism offered by ReRAM crossbar arrays foster the development of ReRAM-based next-generation AI accelerators. At the same time, the sensitivity of ReRAM to temperature variations decreases $\text{R}_{ON}/\text{R}_ ...
Kamilya Smagulova +2 more
doaj +3 more sources
A data-driven Verilog-A ReRam model [PDF]
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2018 The translation of emerging application concepts that exploit Resistive Random Access Memory (ReRAM) into large-scale practical systems requires realistic yet computationally efficient device models.
Nikolaidis, Spyridon +4 more
core +4 more sources
Update Disturbance‐Resilient Analog ReRAM Crossbar Arrays for In‐Memory Deep Learning Accelerators [PDF]
Advanced ScienceResistive memory (ReRAM) technologies with crossbar array architectures hold significant potential for analog AI accelerator hardware, enabling both in‐memory inference and training.
Wooseok Choi +16 more
doaj +2 more sources
Parallel computing of graph-based functions in ReRAM [PDF]
ACM Journal on Emerging Technologies in Computing Systems, 2022 Resistive Random Access Memory (ReRAM) is an emerging non-volatile memory technology. Besides its low power consumption and its high scalability, its inherent computation capabilities make ReRAM especially interesting for future computer architectures ...
Shirinzadeh, Saeideh +2 more
core +2 more sources
Conductance-Aware Quantization Based on Minimum Error Substitution for Non-Linear-Conductance-State Tolerance in Neural Computing Systems [PDF]
Micromachines, 2022 Emerging resistive random-access memory (ReRAM) has demonstrated great potential in the achievement of the in-memory computing paradigm to overcome the well-known “memory wall” in current von Neumann architecture.
Chenglong Huang +4 more
doaj +2 more sources
TRNGs from Pre-Formed ReRAM Arrays
Cryptography, 2021 Schemes generating cryptographic keys from arrays of pre-formed Resistive Random Access (ReRAM) cells, called memristors, can also be used for the design of fast true random number generators (TRNG’s) of exceptional quality, while consuming low levels of
Bertrand Cambou +5 more
doaj +2 more sources
Learning the sparsity for ReRAM
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019 With the in-memory processing ability, ReRAM based computing gets more and more attractive for accelerating neural networks (NNs). However, most ReRAM based accelerators cannot support efficient mapping for sparse NN, and we need to map the whole dense ...
Jilan Lin +7 more
core +2 more sources