Results 61 to 70 of about 1,341 (191)
Redesign the Memory Allocator for Non-Volatile Main Memory
, 2017 The non-volatile memory (NVM) has the merits of byte-addressability, fast speed, persistency and low power consumption, which make it attractive to be used as main memory.
Fang Liu +4 more
core +1 more source
Advanced Materials Technologies, Volume 11, Issue 11, 5 June 2026.Low‐power ferroelectric capacitors, based on superlattice HfO2‐ZrO2 is reported. With proper tuning of ferro and antiferroelectricity, an imprint‐free high switchable polarization charge (2Pr of 76 µC/cm2) is obtained with 2MV/cm leading to linear analog weight update and non‐volatile retention, providing a design guideline for emerging non‐volatile ...
Xinye Li +4 more
wiley +1 more source
Exploring data placement in racetrack memory based scratchpad memory
, 2015 Scratchpad Memory (SPM) has been widely adopted in various computing systems to improve performance of data access. Recently, non-volatile memory technologies (NVMs) have been employed for SPM design to improve its capacity and reduce its energy ...
Mao, Haiyu +7 more
core +1 more source
Energy-Efficient Streaming Using Non-volatile Memory [PDF]
, 2010 The disk and the DRAM in a typical mobile system consume a significant fraction (up to 30%) of the total system energy. To save on storage energy, the DRAM should be small and the disk should be spun down for long periods of time.
Hartel, Pieter H. +2 more
core +1 more source
NGraph: Parallel Graph Processing in Hybrid Memory Systems
IEEE Access, 2019 Big data applications like graph processing are highly imposed on memory capacity. Byte-addressable non-volatile memory (NVM) technologies can offer much larger memory capacity, lower cost per bit relative to traditional DRAM. They are expected to play a
Wei Liu +4 more
doaj +1 more source
InfoMat, Volume 8, Issue 6, June 2026.Lead‐free inorganic halide perovskites enable resistive switching synaptic devices capable of mimicking biological learning and multimodal information processing, offering a promising platform for next‐generation neuromorphic computing and artificial intelligence hardware. Abstract Inorganic halide perovskites (IHPs) have emerged as promising materials
Subhasish Chanda +7 more
wiley +1 more source
Methods for Setting Device Specifications for Analog In‐Memory Computing Inference
Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.Non‐volatile memories (NVMs) are being developed for analog in‐memory computing for energy‐efficient, high‐speed deep learning inference. As technology is moving to industry adoption, a method to define required NVM specifications is critical for improving performance and reducing manufacturing cost.
Zhenyu Wu +3 more
wiley +1 more source
TLSM: Tiered Log-Structured Merge-Tree Utilizing Non-Volatile Memory
IEEE Access, 2020 Log-Structured Merge-tree (LSM-tree) organizes write-friendly and hierarchical structure, which leads to inevitable disk I/O from data compaction occuring between layers.
Jihwan Lee +4 more
doaj +1 more source
Advanced Functional Materials, Volume 36, Issue 34, 27 April 2026.Molecularly engineered memristors integrating Ag nanoparticle–embedded synthetic DNA with quasi‐2D halide perovskites enable ultra‐low‐operational voltage, forming‐free resistive switching, and record‐low power density. This synergistic integration of customized DNA and 2D OHP in bio‐hybrid architecture enhances charge transport, reduces variability ...
Kavya S. Keremane +9 more
wiley +1 more source
Non-filamentary non-volatile memory elements as synapses in neuromorphic systems
Crossbar arrays of non-volatile memory (NVM) devices represent one possible path for implementing highly energy-efficient neuromorphic computing systems.
Jang, J. +9 more
core +1 more source