@inproceedings{94c9fb339371430abfdc027c81f00840,
title = "DLAG-TA: Deep Learning-Based Adaptive Grid Builder for System-Level Thermal Analysis",
abstract = "This work develops an adaptive grid builder for system-level thermal simulators by embedding a well trained deep neural network (DNN) model, and we call it DLAG-TA. To automatically generate adaptive grids for various sizes/structures of handheld devices, it also contains a parameter scaling procedure and a virtual block to element grid mapping procedure to assist the trained DNN model. The results show that DLAG-TA can effectively build grids with high quality.",
keywords = "Adaptive grid, Deep learning, System-level thermal analysis",
author = "Lo, {Wen Sheng} and Chiou, {Hong Wen} and Hsu, {Shih Chieh} and Lee, {Yu Min}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE; 20th InterSociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems, ITherm 2021 ; Conference date: 01-06-2021 Through 04-06-2021",
year = "2021",
doi = "10.1109/ITherm51669.2021.9503154",
language = "English",
series = "InterSociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems, ITHERM",
publisher = "IEEE Computer Society",
pages = "477--483",
booktitle = "Proceedings of the 20th InterSociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems, ITherm 2021",
address = "United States",
}