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Abstract:
Computing-in-memory (CiM) is a popular design alternative to overcome the von Neumann bottleneck and improve the performance of artificial intelligence computing applications. Monolithic three-dimensional (M3D) technology is a promising solution to extend Moore's law through the development of CiM for data-intensive applications. In this article, we first discuss the motivation and challenges associated with two-dimensional CiM designs, and then examine the possibilities presented by emerging M3D technologies. Finally, we review recent advances and trends in the implementation of CiM using M3D technology. © 1981-2012 IEEE.
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IEEE Micro
ISSN: 0272-1732
Year: 2019
Issue: 6
Volume: 39
Page: 28-37
3 . 1 7 2
JCR@2019
2 . 8 0 0
JCR@2023
ESI HC Threshold:162
JCR Journal Grade:1
CAS Journal Grade:3
Cited Count:
SCOPUS Cited Count: 5
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 1
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