A Deep Learning Framework to Predict Routability for FPGA Circuit Placement-Reference-Cited by-同舟云学术

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A Deep Learning Framework to Predict Routability for FPGA Circuit Placement

Published:2019-09 Issue: Volume: Page:
ISSN:
Container-title:2019 29th International Conference on Field Programmable Logic and Applications (FPL)
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Author:

Alhyari Abeer,Shamli Ahmed,Abuwaimer Ziad,Areibi Shawki,Grewal Gary

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8890609/8891988/08892143.pdf?arnumber=8892143

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AI/ML algorithms and applications in VLSI design and technology;Integration;2023-11

2. VPR-Gym: A Platform for Exploring AI Techniques in FPGA Placement Optimization;2023 33rd International Conference on Field-Programmable Logic and Applications (FPL);2023-09-04

3. High-correlation 3D routability estimation for congestion-guided global routing;The Journal of Supercomputing;2023-08-29

4. A Novel Application of Deep Learning (Convolutional Neural Network) for Traumatic Spinal Cord Injury Classification Using Automatically Learned Features of EMG Signal;Sensors;2022-11-03

5. PHetDP: A Placement Algorithm for Heterogeneous FPGAs with Delayed Packing;Circuits, Systems, and Signal Processing;2022-09-04

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