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Packing Sparse Convolutional Neural Networks for Efficient ..:

, In: Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems,

Kung, H.T. ; McDanel, Bradley ; Zhang, Sai Qian - p. 821-834 , 2019

Link: https://dl.acm.org/doi/10.1145/3297858.3304028

RT 
T1 <cTitle>Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems</cTitle>: T1 <Title>Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations				: Column Combining Under Joint Optimization</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3304028&Exemplar=1&LAN=DE
				
A1 Kung, H.T.
A1 McDanel, Bradley
A1 Zhang, Sai Qian
PB ACM
YR 2019
K1 data flow architectures
K1 joint optimization
K1 neural networks
K1 sparsity
K1 systolic arrays
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Neural networks
K1 Computer systems organization
K1 Architectures
K1 Parallel architectures
K1 Systolic arrays
K1 Other architectures
K1 Hardware
K1 Electronic design automation
K1 High-level and register-transfer level synthesis
K1 Hardware-software codesign
SP 821
OP 834
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3297858.3304028
DO https://dl.acm.org/doi/10.1145/3297858.3304028
SF ELIB - SuUB Bremen

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