COSIME: FeFET based Associative Memory for In-Memory Cosine Similarity Search

In a number of machine learning models, an input query is searched across the trained class vectors to find the closest feature class vector in cosine similarity metric. However, performing the cosine similarities between the vectors in Von-Neumann machines involves a large number of multiplications...

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Bibliographische Detailangaben

Veröffentlicht in:	2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD) S. 1 - 9
Hauptverfasser:	Liu, Che-Kai, Chen, Haobang, Imani, Mohsen, Ni, Kai, Kazemi, Arman, Laguna, Ann Franchesca, Niemier, Michael, Hu, Xiaobo Sharon, Zhao, Liang, Zhuo, Cheng, Yin, Xunzhao
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 29.10.2022
Schlagworte:	Associative memory Energy efficiency Graphics processing units Measurement Nonvolatile memory Support vector machines Throughput
ISSN:	1558-2434
Online-Zugang:	Volltext
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