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Generating Routing-Driven Power Distribution Networks with ..:

, In: Proceedings of the 2016 on International Symposium on Physical Design,

Chang, Wen-Hsiang ; Chen, Li-De ; Lin, Chien-Hsueh... - p. 145-152 , 2016

Link: https://dl.acm.org/doi/10.1145/2872334.2872353

RT 
T1 <cTitle>Proceedings of the 2016 on International Symposium on Physical Design</cTitle>: T1 <Title>Generating Routing-Driven Power Distribution Networks with Machine-Learning Technique</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2872353&Exemplar=1&LAN=DE
				
A1 Chang, Wen-Hsiang
A1 Chen, Li-De
A1 Lin, Chien-Hsueh
A1 Mu, Szu-Pang
A1 Chao, Mango C.-T.
A1 Tsai, Cheng-Hong
A1 Chiu, Yen-Chih
PB ACM
YR 2016
K1 electro-migration (em)
K1 gaussian process
K1 ir drop
K1 machine-learning technique
K1 power distribution network
K1 power grid design
K1 routing-driven
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Kernel methods
K1 Gaussian processes
K1 Hardware
K1 Electronic design automation
K1 Physical design (EDA)
K1 Power grid design
K1 Power and energy
K1 Power estimation and optimization
K1 Chip-level power issues
K1 Hardware validation
K1 Physical verification
K1 Power and thermal analysis
K1 Wire routing
K1 Methodologies for EDA
K1 Software tools for EDA
K1 Design and analysis of algorithms
K1 Approximation algorithms analysis
K1 Routing and network design problems
SP 145
OP 152
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2872334.2872353
DO https://dl.acm.org/doi/10.1145/2872334.2872353
SF ELIB - SuUB Bremen

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