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GANNoC: A Framework for Automatic Generation of NoC Topologies using Generative Adversarial Networks
Publikováno v:
13th Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools (RAPIDO 2021)
13th Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools (RAPIDO 2021), Jan 2021, Budapest, Hungary
DroneSE/RAPIDO@HiPEAC
13th Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools (RAPIDO 2021), Jan 2021, Budapest, Hungary. pp.51-58, ⟨10.1145/3444950.3447283⟩
13th Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools (RAPIDO 2021), Jan 2021, Budapest, Hungary
DroneSE/RAPIDO@HiPEAC
13th Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools (RAPIDO 2021), Jan 2021, Budapest, Hungary. pp.51-58, ⟨10.1145/3444950.3447283⟩
International audience; We propose GANNoC, a framework for automatic generation of customized Network-on-Chip (NoC) topologies, which exploits generative adversarial networks (GANs) learning capabilities. We define the problem of NoC generation as a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69769c091a26a1e77a45840c824e422f
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03107918/document
https://hal-lirmm.ccsd.cnrs.fr/lirmm-03107918/document