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A Comprehensive Evaluation of Novel AI Accelerators for Dee..:

, In: 2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS),

Emani, Murali ; Xie, Zhen ; Raskar, Siddhisanket... - p. 13-25 , 2022

Link: https://doi.org/10.1109/PMBS56514.2022.00007

RT 
T1 <cTitle>2022 IEEE/ACM International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS)</cTitle>: T1 <Title>A Comprehensive Evaluation of Novel AI Accelerators for Deep Learning Workloads</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10024028&Exemplar=1&LAN=DE
				
A1 Emani, Murali
A1 Xie, Zhen
A1 Raskar, Siddhisanket
A1 Sastry, Varuni
A1 Arnold, William
A1 Wilson, Bruce
A1 Thakur, Rajeev
A1 Vishwanath, Venkatram
A1 Liu, Zhengchun
A1 Papka, Michael E.
A1 Bohorquez, Cindy Orozco
A1 Weisner, Rick
A1 Li, Karen
A1 Sheng, Yongning
A1 Du, Yun
A1 Zhang, Jian
A1 Tsyplikhin, Alexander
A1 Khaira, Gurdaman
A1 Fowers, Jeremy
A1 Sivakumar, Ramakrishnan
A1 Godsoe, Victoria
A1 Macias, Adrian
A1 Tekur, Chetan
A1 Boyd, Matthew
YR 2022
K1 Deep learning
K1 Computational modeling
K1 High performance computing
K1 Conferences
K1 AI accelerators
K1 Full stack
K1 Computer architecture
K1 Scientific Machine Learning
K1 Deep Learning
K1 Accelerators
K1 Performance Evaluation
K1 Benchmarking
SP 13
OP 25
LK http://dx.doi.org/https://doi.org/10.1109/PMBS56514.2022.00007
DO https://doi.org/10.1109/PMBS56514.2022.00007
SF ELIB - SuUB Bremen

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