Results 61 to 70 of about 3,680 (155)

Analysis on hybrid memory architecture for big data application

大数据, 2018
Due to the limited scalability of DRAM,it is hard to optimize the performance of big data analysis and the big data applications.The new non-volatile memory (NVM) brings the opportunity to improve the performance and efficiency for big data applications ...
Xin LI, Xuan CHEN, Zhiqiu HUANG
doaj  

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

Small, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong, Maheswari Sivan, Jieming Pan, Zihang Fang, Jianan Li, Zefeng Xu, Shi Zhao, Quanzhen Wan, Evgeny Zamburg, Aaron Voon‐Yew Thean   +9 more
wiley   +1 more source

Ternary Content‐Addressable Memory Using One Capacitor and One Nanoelectromechanical Memory Switch for Data‐Intensive Applications

Advanced Intelligent Systems, Volume 8, Issue 3, March 2026.
A charge‐domain ternary content‐addressable memory using one capacitor one nanoelectromechanical memory switch (1C‐1N TCAM) is proposed for energy‐efficient, high‐reliability computations. Integrated with the back‐end‐of‐line process, the 1C‐1N TCAM leverages the air gap capacitance to achieve a high capacitance ratio and ternary functionality.
Jin Wook Lee, Changha Kim, Geun Tae Park, Seung Hun Baek, Myeong Su Shin, Woo Young Choi   +5 more
wiley   +1 more source

Accelerating K-mer Frequency Counting with GPU and Non-Volatile Memory

, 2017
The emergence of Next Generation Sequencing (NGS) platforms has increased the throughput of genomic sequencing and in turn the amount of data that needs to be processed, requiring highly efficient computation for its analysis.
Cadenelli, Nicola, Carrera, David, Polo, Jorda   +2 more
core   +1 more source

An Ultra‐Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective Vertical Channels for Neuromorphic Computing

Advanced Functional Materials, Volume 36, Issue 10, 2 February 2026.
An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu, Hongyi Dou, Jeremy B. Gan, Cun Li, Xuanyu Sheng, Juanjuan Lu, Abhijeet Choudhury, Jialong Huang, Yizhi Zhang, Zhongxia Shang, Ye Cao, Xinghang Zhang, Haiyan Wang   +12 more
wiley   +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, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang   +4 more
doaj   +1 more source

Dendritic-Inspired Processing Enables Bio-Plausible STDP in Compound Binary Synapses

, 2018
Brain-inspired learning mechanisms, e.g. spike timing dependent plasticity (STDP), enable agile and fast on-the-fly adaptation capability in a spiking neural network. When incorporating emerging nanoscale resistive non-volatile memory (NVM) devices, with
Saxena, Vishal, Wu, Xinyu
core   +1 more source

Fully CMOS‐Compatible 3‐T Embedded NOR Flash Memory Achieving 28 ns Long‐Term Potentiation/Long‐Term Depression for High‐Speed Online Training Accelerators

Advanced Intelligent Systems, Volume 8, Issue 2, February 2026.
A fully complementary metal–oxide–semiconductor process‐compatible novel 3‐T embedded NOR flash is demonstrated on a 28 nm fully depleted silicon‐on‐insulator platform. The proposed memory achieves record‐fast 28‐long‐term potentiation and depression , offering high‐speed and highly reliable synaptic behavior for online training in neuromorphic ...
Jae Seung Woo, Kyoung Min Choi, Geun Tae Park, Jin Ho Chang, Woo Young Choi   +4 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, Won Gi Choi, Doyoung Kim, Hanseung Sung, Sanghyun Park   +4 more
doaj   +1 more source

Emerging non-volatile memory (NVM) technologies based nano-oscillators: Materials to applications

Journal of Applied Physics
This comprehensive study provides a detailed review toward ongoing research on emerging non-volatile memory technologies based nano-oscillators, i.e., from the perspective of materials to applications. Depending on the materials used to fabricate them, the whole class of emerging nano-oscillators has been broadly classified into two categories: (i ...
Manoj Kumar, Manan Suri
openaire   +1 more source