GANNoC: A Framework for Automatic Generation of NoC Topologies using Generative Adversarial Networks-Reference-Cited by-同舟云学术

GANNoC: A Framework for Automatic Generation of NoC Topologies using Generative Adversarial Networks

Published:2021-01-18 Issue: Volume: Page:
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Container-title:Proceedings of the 2021 Drone Systems Engineering and Rapid Simulation and Performance Evaluation: Methods and Tools Proceedings
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Author:

Mirka Maxime¹,France Pillois Maxime France¹,Sassatelli Gilles¹,Gamatié Abdoulaye¹

Affiliation:

1. LIRMM Université de Montpellier and CNRS Montpellier, France

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3444950.3447283

Reference27 articles.

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2. Martin Arjovsky Soumith Chintala and Léon Bottou. 2017. Wasserstein GAN. arxiv:1701.07875 [stat.ML] Martin Arjovsky Soumith Chintala and Léon Bottou. 2017. Wasserstein GAN. arxiv:1701.07875 [stat.ML]

3. Networks on chips: a new SoC paradigm

4. Nicola De Cao and Thomas Kipf. 2018. MolGAN: An implicit generative model for small molecular graphs. arxiv:1805.11973 [stat.ML] Nicola De Cao and Thomas Kipf. 2018. MolGAN: An implicit generative model for small molecular graphs. arxiv:1805.11973 [stat.ML]

5. Cycle-Accurate Network on Chip Simulation with Noxim

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