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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Bibliographic Details

Published in:	2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD) pp. 1 - 9
Main Authors:	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:	Conference Proceeding
Language:	English
Published:	ACM 29.10.2022
Subjects:	Associative memory Energy efficiency Graphics processing units Measurement Nonvolatile memory Support vector machines Throughput
ISSN:	1558-2434
Online Access:	Get full text
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