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Design of Analog-AI Hardware Accelerators for Transformer-b..:

, In: 2023 International Electron Devices Meeting (IEDM),

Burr, G. W. ; Tsai, H. ; Simon, W.... - p. 1-4 , 2023

Link: https://doi.org/10.1109/IEDM45741.2023.10413767

RT 
T1 <cTitle>2023 International Electron Devices Meeting (IEDM)</cTitle>: T1 <Title>Design of Analog-AI Hardware Accelerators for Transformer-based Language Models (Invited)</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10413767&Exemplar=1&LAN=DE
				
A1 Burr, G. W.
A1 Tsai, H.
A1 Simon, W.
A1 Boybat, I.
A1 Ambrogio, S.
A1 Ho, C.-E.
A1 Liou, Z.-W.
A1 Rasch, M.
A1 Buchel, J.
A1 Narayanan, P.
A1 Gordon, T.
A1 Jain, S.
A1 Levin, T. M.
A1 Hosokawa, K.
A1 Le Gallo, M.
A1 Smith, H.
A1 Ishii, M.
A1 Kohda, Y.
A1 Chen, A.
A1 Mackin, C.
A1 Fasoli, A.
A1 ElMaghraoui, K.
A1 Muralidhar, R.
A1 Okazaki, A.
A1 Chen, C. -T.
A1 Frank, M. M.
A1 Lammie, C.
A1 Vasilopoulos, A.
A1 Friz, A. M.
A1 Luquin, J.
A1 Teehan, S.
A1 Ahsan, I.
A1 Sebastian, A.
A1 Narayanan, V.
YR 2023
SN 2156-017X
K1 Training
K1 Semiconductor device modeling
K1 Nonvolatile memory
K1 Computational modeling
K1 Transformers
K1 Throughput
K1 Energy efficiency
K1 In-memory computing
K1 Non-volatile memory
K1 large language models
K1 analog multiply-accumulate for DNN inference
K1 analog AI
K1 deep learning accelerator
K1 system modeling
SP 1
OP 4
LK http://dx.doi.org/https://doi.org/10.1109/IEDM45741.2023.10413767
DO https://doi.org/10.1109/IEDM45741.2023.10413767
SF ELIB - SuUB Bremen

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