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GANNoC: A Framework for Automatic Generation of NoC Topolog..:
, In:
Proceedings of the 2021 Drone Systems Engineering and Rapid Simulation and Performance Evaluation: Methods and Tools Proceedings
,
Mirka, Maxime
;
France Pillois, Maxime France
;
Sassatelli, Gilles
. - p. 51-58 , 2021
Link:
https://dl.acm.org/doi/10.1145/3444950.3447283
RT T1 <cTitle>Proceedings of the 2021 Drone Systems Engineering and Rapid Simulation and Performance Evaluation: Methods and Tools Proceedings</cTitle>: T1 <Title>GANNoC: A Framework for Automatic Generation of NoC Topologies using Generative Adversarial Networks</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3447283&Exemplar=1&LAN=DE A1 Mirka, Maxime A1 France Pillois, Maxime France A1 Sassatelli, Gilles A1 Gamatié, Abdoulaye PB ACM YR 2021 K1 Generative Adversarial Network K1 Network-on-Chip K1 Neural Networks K1 NoC Topology K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 51 OP 58 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3444950.3447283 DO https://dl.acm.org/doi/10.1145/3444950.3447283 SF ELIB - SuUB Bremen
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