A machine learning framework to identify detailed routing short violations from a placed netlist-Reference-Cited by-同舟云学术

A machine learning framework to identify detailed routing short violations from a placed netlist

Published:2018-06-24 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 55th Annual Design Automation Conference
language:
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Author:

Tabrizi Aysa Fakheri¹,Darav Nima Karimpour²,Xu Shuchang¹,Rakai Logan¹,Bustany Ismail³,Kennings Andrew⁴,Behjat Laleh¹

Affiliation:

1. University of Calgary, Calgary, Canada

2. Microsemi Corp., Kitchener, Canada

3. Xilinx Inc.

4. University of Waterloo, Waterloo, Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3195970.3195975

Reference30 articles.

1. M. Abadi and etall. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. (2015). https://www.tensorflow.org/ Software available from tensorflow.org. M. Abadi and et all. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. (2015). https://www.tensorflow.org/ Software available from tensorflow.org.

2. ISPD 2015 Benchmarks with Fence Regions and Routing Blockages for Detailed-Routing-Driven Placement

3. Routability Optimization for Industrial Designs at Sub-14nm Process Nodes Using Machine Learning

4. Editorial

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