Results 31 to 40 of about 4,703 (195)
A RRAM-Based True Random Number Generator with 2T1R Architecture for Hardware Security Applications
Micromachines, 2023 Resistance random access memory (RRAM) based true random number generator (TRNG) has great potential to be applied to hardware security owing to its intrinsic switching variability. Especially the high resistance state (HRS) variation is usually taken as
Bo Peng +3 more
doaj +1 more source
RRAM-based fault-tolerant Binary Neural Networks
, 2021 Computation-In-Memory (CIM) employing Resistive-RAM(RRAM)-based crossbar arrays is a promising solution to implement Neural Networks (NNs) on hardware, such that they are efficient with respect to consumption of energy, memory, computational resources ...
Zografou, Artemis (author)
core
Modelling and mechanism of Resistive Random Access Memory (RRAM)
, 2023 openLe memorie RRAM (Resistive Random Access Memories) hanno recentemente mostrato caratteristiche eccezionali come alta scalabilità, alta velocità, alta densità e funzionamento a bassa energia.
TOMAIUOLI, MARCO
core
Unsupervised Learning on Resistive Memory Array Based Spiking Neural Networks
Frontiers in Neuroscience, 2019 Spiking Neural Networks (SNNs) offer great potential to promote both the performance and efficiency of real-world computing systems, considering the biological plausibility of SNNs.
Yilong Guo +3 more
doaj +1 more source
Nanoscale Research Letters, 2020 In this manuscript, recent progress in the area of resistive random access memory (RRAM) technology which is considered one of the most standout emerging memory technologies owing to its high speed, low cost, enhanced storage density, potential ...
Furqan Zahoor +2 more
doaj +1 more source
Reliability simulation of TMO RRAM
, 2015 Combination with the RRAM analytic model with varation and the Monte Carlo simulator based on the microcosmic processes of oxygen vacancies and oxygen ion's generation, transportation and recombination, a TMO RRAM reliability simulation platform is ...
Kang, Jinfeng +11 more
core +1 more source
Hardware implementation of RRAM based binarized neural networks
APL Materials, 2019 Resistive switching random access memory (RRAM) has been explored to accelerate the computation of neural networks. RRAM with linear conductance modulation is usually required for the efficient weight updating during the online training according to the ...
Peng Huang +7 more
doaj +1 more source
Accurate Inference With Inaccurate RRAM Devices: A Joint Algorithm-Design Solution
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2020 Resistive random access memory (RRAM) is a promising technology for energy-efficient neuromorphic accelerators. However, when a pretrained deep neural network (DNN) model is programmed to an RRAM array for inference, the model suffers from accuracy ...
Gouranga Charan +5 more
doaj +1 more source
Nanomaterials, 2022 The SrZrTiO3 (SZT) thin film prepared by sol-gel process for the insulator of resistive random-access memory (RRAM) is presented. Al was embedded in the SZT thin film to enhance the switching characteristics.
Ke-Jing Lee +4 more
doaj +1 more source
Simulations of RRAM-Based SSDs
, 2017 In this chapter SSDExplorer, a fine-grained SSD simulator, is used to evaluate the possible impact of emerging non-volatile memories, such as Resistive RAM (RRAM), on future SSD architectures. Does it make sense to fully replace NANDs with one of the emerging memories? What’s the benefit?
Zuolo, Lorenzo +3 more
openaire +2 more sources