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MnnFast : a fast and scalable system architecture for me..:

, In: Proceedings of the 46th International Symposium on Computer Architecture,

Jang, Hanhwi ; Kim, Joonsung ; Jo, Jae-Eon.. - p. 250-263 , 2019

Link: https://dl.acm.org/doi/10.1145/3307650.3322214

RT 
T1 <cTitle>Proceedings of the 46th International Symposium on Computer Architecture</cTitle>: T1 <Title>MnnFast				: a fast and scalable system architecture for memory-augmented neural networks</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3322214&Exemplar=1&LAN=DE
				
A1 Jang, Hanhwi
A1 Kim, Joonsung
A1 Jo, Jae-Eon
A1 Lee, Jaewon
A1 Kim, Jangwoo
PB ACM
YR 2019
K1 accelerator
K1 algorithm-hardware co-design
K1 architecture
K1 attention-based neural networks
K1 computation/dataflow optimization
K1 machine learning
K1 memory networks
K1 parallel algorithm
K1 Computer systems organization
K1 Architectures
K1 Other architectures
K1 Neural networks
K1 Computing methodologies
K1 Parallel computing methodologies
K1 Parallel algorithms
K1 Hardware
K1 Integrated circuits
K1 Reconfigurable logic and FPGAs
K1 Hardware accelerators
K1 Parallel architectures
K1 Theory of computation
K1 Design and analysis of algorithms
K1 Machine learning
K1 Machine learning approaches
SP 250
OP 263
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3307650.3322214
DO https://dl.acm.org/doi/10.1145/3307650.3322214
SF ELIB - SuUB Bremen

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