Results 71 to 80 of about 106,345 (262)

ATRIA: A Bit-Parallel Stochastic Arithmetic Based Accelerator for\n In-DRAM CNN Processing [PDF]

, 2021
Supreeth Mysore Shivanandamurthy, Ishan Thakkar, Sayed Ahmad Salehi   +2 more
openalex   +1 more source

Enhanced Dielectric Constant by Al Gradient Doping on Atomic‐Layer‐Deposited HfO2‐Based Metal–Insulator–Metal Capacitor

Advanced Electronic Materials, EarlyView.
This study demonstrates that Al gradient doping significantly enhances the dielectric performance of HfO2‐based MIM capacitors compared to standard uniform Al doping. By more effectively promoting the tetragonal high‐k phase, it increases capacitance, reduces leakage current, and achieves a record‐high dielectric constant, validated across various ...
Taelim Lee, Jungwoo Bong, Hyunjin Lee, Ho‐Sung Lee, Hyeon‐Sik Jang, Hee‐Tae Kim, Jae‐Hyun Lee, Byung Jin Cho, Yeon‐Ho Choi, Hagyoul Bae, Taehwan Moon, Keun Heo   +11 more
wiley   +1 more source

A Highly Parallel DRAM Architecture to Mitigate Large Access Latency and Improve Energy Efficiency of Modern DRAM Systems

IEEE Access
Modern Dynamic Random Access Memory (DRAM) banks are characterized by their ability to work in parallel, enabling concurrent servicing of multiple memory accesses through the interleaved DRAM banks.
Tareq A. Alawneh, Ahmed A. M. Sharadqh, Ashraf Al Sharah, Emad Awada, Jawdat S. Alkasassbeh, Ayman Y. Al-Rawashdeh, Aws Al-Qaisi   +6 more
doaj   +1 more source

Analysis of Magnetic Switching in Magnetically Coupled Dual Free Layers Within Magnetic Tunnel Junctions (MTJ) for STT MRAM

Advanced Electronic Materials, EarlyView.
A magnetic tunnel junction (MTJ) with two free layers shows four magnetization reversal phases governed by interlayer magnetic coupling (Jcpl). Phase 2 (sequential reversal) reduces write current (Iw) by 50% for 30‐nm‐diameter MTJs compared to Phase 4 (coherent reversal), while Jcpl also boosts thermal stability.
Shujun Ye, Koichi Nishioka
wiley   +1 more source

DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis

, 2019
Training convolutional neural networks (CNNs) requires intense compute throughput and high memory bandwidth. Especially, convolution layers account for the majority of the execution time of CNN training, and GPUs are commonly used to accelerate these ...
Chatterjee, Niladrish, Erez, Mattan, Lee, Donghyuk, Lym, Sangkug, O'Connor, Mike   +4 more
core   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

Аналітичний огляд та аналіз трендів вразливості RowHummer для різних виробників DRAM

Social Development & Security
Мета роботи: провести аналітичний огляд вразливості жорстких дисків типу SSD та проаналізувати трендів вразливості RowHummer для різних виробників DRAM. Сформувати прогнози розвитку.
Valentyn Mazurok, Vladimir Lutsenko
doaj   +1 more source

Memory transfer optimization for a lattice Boltzmann solver on Kepler architecture nVidia GPUs

, 2013
The Lattice Boltzmann method (LBM) for solving fluid flow is naturally well suited to an efficient implementation for massively parallel computing, due to the prevalence of local operations in the algorithm.
Mawson, Mark, Revell, Alistair
core   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

Advanced Intelligent Systems, EarlyView.
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, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source

Детектування атак типу RowHummer за допомогою частотних масивів

Social Development & Security
Мета роботи: створення алгоритму захисту оперативної пам’яті DRAM від вразливості RowHammer, що не має вразливості нерівномірного оновлення. Результати дослідження: показано механізм детектування RowHammer на основі частотних масивів, що не має ...
Valentyn Mazurok, Volodymyr Lutsenko
doaj   +1 more source