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1 Ergebnisse
1
Quantpipe: Applying Adaptive Post-Training Quantization For..:
, In:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Wang, Haonan
;
Imes, Connor
;
Kundu, Souvik
... - p. 1-5 , 2023
Link:
https://doi.org/10.1109/ICASSP49357.2023.10096632
RT T1 <cTitle>ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>Quantpipe: Applying Adaptive Post-Training Quantization For Distributed Transformer Pipelines In Dynamic Edge Environments</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10096632&Exemplar=1&LAN=DE A1 Wang, Haonan A1 Imes, Connor A1 Kundu, Souvik A1 Beerel, Peter A. A1 Crago, Stephen P. A1 Paul Walters, John YR 2023 SN 2379-190X K1 Quantization (signal) K1 Tensors K1 Image coding K1 Fluctuations K1 Image edge detection K1 Pipelines K1 Bandwidth K1 Distributed K1 Edge System K1 Pipeline Parallelism K1 Post-training Quantization K1 Adaptive SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP49357.2023.10096632 DO https://doi.org/10.1109/ICASSP49357.2023.10096632 SF ELIB - SuUB Bremen
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