返回
Computational phase-change memory: beyond von Neumann computing
DOI:10.1088/1361-6463/ab37b6.png)
摘要
En 中文
The explosive growth in data-centric artificial intelligence related applications necessitates a radical departure from traditional von Neumann computing systems, which involve separate processing and memory units. Computational memory is one such approach where certain tasks are performed in place in the memory itself. This is enabled by the physical attributes and state dynamics of the memory devices. Naturally, memory plays a central role in this computing paradigm for which emerging post-CMOS, non-volatile memory devices based on resistance-based information storage are particularly well suited. Phase-change memory is arguably the most advanced resistive memory technology and in this article we present a comprehensive review of in-memory computing using phase-change memory devices.
Keyword:
memory
computing
resistive memory
phase change memory
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.2
论文数:
2.6W
被引数:
4.9W
机构
引用论文
Ex situ remediation of contaminated sediments using mineral additives: Assessment of pollutant bioavailability with the Microtox solid phase test
Chemosphere
IF0
Designing crystallization in phase-change materials for universal memory and neuro-inspired computing在相变材料中设计结晶以实现通用存储和神经启发计算
NATURE REVIEWS MATERIALS
IF86.2
Nanoelectronic Programmable Synapses Based on Phase Change Materials for Brain-Inspired Computing
NANO LETTERS
IF9.1

