Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)

G. W. Burr,H. Tsai, W. Simon,I. Boybat,S. Ambrogio, C.-E. Ho, Z.-W. Liou,M. Rasch,J. Büchel,P. Narayanan,T. Gordon, S. Jain,T. M. Levin,K. Hosokawa,M. Le Gallo, H. Smith,M. Ishii,Y. Kohda,A. Chen,C. Mackin, A. Fasoli, K. ElMaghraoui,R. Muralidhar,A. Okazaki, C. -T. Chen,M. M. Frank, C. Lammie,A. Vasilopoulos,A. M. Friz, J. Luquin,S. Teehan,I. Ahsan,A. Sebastian,V. Narayanan

2023 International Electron Devices Meeting (IEDM)（2023）

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Key words

In-memory computing,Non-volatile memory,large language models,analog multiply-accumulate for DNN inference,analog AI,deep learning accelerator,system modeling

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