标题
Accurate deep neural network inference using computational phase-change memory
作者
关键词
-
出版物
Nature Communications
Volume 11, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-05-18
DOI
10.1038/s41467-020-16108-9
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- An overview of phase-change memory device physics
- (2020) Manuel Le Gallo et al. JOURNAL OF PHYSICS D-APPLIED PHYSICS
- Fully hardware-implemented memristor convolutional neural network
- (2020) Peng Yao et al. NATURE
- Resistive switching materials for information processing
- (2020) Zhongrui Wang et al. Nature Reviews Materials
- Memory devices and applications for in-memory computing
- (2020) Abu Sebastian et al. Nature Nanotechnology
- Enhancing Reliability of Analog Neural Network Processors
- (2019) Suhong Moon et al. IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
- Monolithically Integrated RRAM- and CMOS-Based In-Memory Computing Optimizations for Efficient Deep Learning
- (2019) Shihui Yin et al. IEEE MICRO
- Memristor-Based Analog Computation and Neural Network Classification with a Dot Product Engine
- (2018) Miao Hu et al. ADVANCED MATERIALS
- YodaNN: An Architecture for Ultralow Power Binary-Weight CNN Acceleration
- (2018) Renzo Andri et al. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
- Equivalent-accuracy accelerated neural-network training using analogue memory
- (2018) Stefano Ambrogio et al. NATURE
- Neuromorphic computing with multi-memristive synapses
- (2018) Irem Boybat et al. Nature Communications
- Collective Structural Relaxation in Phase-Change Memory Devices
- (2018) Manuel Le Gallo et al. Advanced Electronic Materials
- A Variation-Tolerant In-Memory Machine Learning Classifier via On-Chip Training
- (2018) Sujan K. Gonugondla et al. IEEE JOURNAL OF SOLID-STATE CIRCUITS
- Compressed Sensing With Approximate Message Passing Using In-Memory Computing
- (2018) Manuel Le Gallo et al. IEEE TRANSACTIONS ON ELECTRON DEVICES
- A Neuromorphic Chip Optimized for Deep Learning and CMOS Technology With Time-Domain Analog and Digital Mixed-Signal Processing
- (2017) Daisuke Miyashita et al. IEEE JOURNAL OF SOLID-STATE CIRCUITS
- High-Performance Mixed-Signal Neurocomputing With Nanoscale Floating-Gate Memory Cell Arrays
- (2017) Farnood Merrikh-Bayat et al. IEEE Transactions on Neural Networks and Learning Systems
- Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices
- (2017) Tayfun Gokmen et al. Frontiers in Neuroscience
- Recent Progress in Phase-Change_newline Memory Technology
- (2016) Geoffrey W. Burr et al. IEEE Journal on Emerging and Selected Topics in Circuits and Systems
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started