Analog ic placement generation via neural networks from unlabeled data

Auteur : Gusmão, António / Horta, Nuno / Lourenço, Nuno / Martins, Ricardo
Éditeur : Springer Nature Switzerland AG
ISBN : 9783030500603
Date de publication : 1 juil. 2020
Dimensions : 23,5 x 15,5 cm
Langue : Anglais
Pays d'origine : Suisse

This approach yields device-level descriptions of the input topology that, for each device, focus on describing its relation to every other device in the topology. By means of thesedescriptions, an unfamiliar overall topology can be broken down into devices that are subject to the same constraints as a device in one of the training topologies.

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