Results 81 to 90 of about 10,811 (199)
Compute-in-memory (CIM) has emerged as a promising solution to mitigate the data movement bottleneck in von Neumann architectures. While vertical NAND (V-NAND) flash memory has been explored for CIM, its structural constraints, including pass-bias ...
Jonghyun Ko +9 more
doaj +1 more source
Architectural and Integration Options for 3D NAND Flash Memories
Nowadays, NAND Flash technology is everywhere, since it is the core of the code and data storage in mobile and embedded applications; moreover, its market share is exploding with Solid-State-Drives (SSDs), which are replacing Hard Disk Drives (HDDs) in ...
Rino Micheloni +3 more
doaj +1 more source
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim +7 more
wiley +1 more source
Exploring Design Dimensions in Flash-based Mass-memory Devices [PDF]
Mission-critical space system applications present several issues: a typical one is the design of a mass-memory device (i.e., a solid- state recorder).
Caramia, M. +3 more
core
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
A universal temperature‐friendly nonvolatile MRAM (UTF‐NVMRAM) operating from 4 to 400K is realized by optimizing the MgO/MgOx capping layer and incorporating Mo into the CoFeB composite‐free layer. This architecture minimizes temperature sensitivity in switching voltage and thermal stability factor while demonstrating potential CMOS back‐end‐of‐line ...
Ming‐Chun Hong +21 more
wiley +1 more source
Self-organizing Map (SOM) neural network is a prominent algorithm in unsupervised machine learning, which is widely used for data clustering, high-dimensional visualization, and feature extraction.
Anyi Zhu +4 more
doaj +1 more source
A Cache Management Strategy to Replace Wear Leveling Techniques for Embedded Flash Memory
Prices of NAND flash memories are falling drastically due to market growth and fabrication process mastering while research efforts from a technological point of view in terms of endurance and density are very active. NAND flash memories are becoming the
Boukhobza, Jalil +2 more
core +1 more source
This paper presents a set of models dedicated to describe a flash storage subsystem structure, functions, performance and power consumption behaviors. These models cover a large range of today's NAND flash memory applications.
Boukhobza, Jalil +2 more
core +1 more source
Polar-Coded Forward Error Correction for MLC NAND Flash Memory Polar FEC for NAND Flash Memory
With the ever-growing storage density, high-speed, and low-cost data access, flash memory has inevitably become popular. Multi-level cell (MLC) NAND flash memory, which can well balance the data density and memory stability, has occupied the largest market share of flash memory.
Song, Haochuan +6 more
openaire +2 more sources

