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Physically Accurate Learning-based Performance Prediction o..:

, In: Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD,

Esmaeilzadeh, Hadi ; Ghodrati, Soroush ; Kahng, Andrew B.... - p. 119-126 , 2022

Link: https://dl.acm.org/doi/10.1145/3551901.3556489

RT 
T1 <cTitle>Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD</cTitle>: T1 <Title>Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3556489&Exemplar=1&LAN=DE
				
A1 Esmaeilzadeh, Hadi
A1 Ghodrati, Soroush
A1 Kahng, Andrew B.
A1 Kim, Joon Kyung
A1 Kinzer, Sean
A1 Kundu, Sayak
A1 Mahapatra, Rohan
A1 Manasi, Susmita Dey
A1 Sapatnekar, Sachin S.
A1 Wang, Zhiang
A1 Zeng, Ziqing
PB ACM
YR 2022
K1 ML accelerator
K1 PPA prediction
K1 design space exploration
K1 Hardware
K1 Electronic design automation
K1 Physical design (EDA)
K1 Very large scale integration design
K1 Application-specific VLSI designs
K1 Application specific integrated circuits
K1 Integrated circuits
K1 Reconfigurable logic and FPGAs
K1 Hardware accelerators
SP 119
OP 126
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3551901.3556489
DO https://dl.acm.org/doi/10.1145/3551901.3556489
SF ELIB - SuUB Bremen

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