BooLUT-CIM: A 52.4 TOPS/W Radix-4 Booth-LUT Digital CIM With Negative-Magnitude-Bits Inversion Storage

Compute-in-Memory (CIM) is an effective approach to boost the efficiency of AI hardware by reducing data movement. Digital CIM (DCIM) has garnered extensive attention owing to its immunity to PVT variations and high precision. Recently, a lookup table (LUT)-based DCIM architecture was proposed, whic...

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Bibliographic Details
Published in:	IEEE transactions on circuits and systems. II, Express briefs Express briefs, 2025-11, Vol.72 (11), p.1615-1619
Main Authors:	Yang, Yi, Tan, Xiao, Chen, Jinwu, Du, Yucheng, Jiao, Tianhui, Wang, Xing, Guo, An, Si, Xin
Format:	Article
Language:	English
Subjects:	Adders Artificial neural networks Booth algorithm Common Information Model (computing) Compute-in-memory Computer architecture deep neural networks Discharges (electric) Efficiency Encoding Energy efficiency In-memory computing lookup table Lookup tables Power management Simulation sparsity Table lookup
Citations:	Items that this one cites
Online Access:	Get full text
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