An Adaptive Analytic FPGA Placement Framework based on Deep-Learning
Author:
Affiliation:
1. University of Guelph, Guelph, ON, Canada
Funder
NSERC -- Natural Sciences and Engineering Research Council
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3380446.3430618
Reference16 articles.
1. GPlace3.0
2. A. Alhyari A. Shamli Z. Abuowaimer G. Grewal and S. Areibi. 2019. A Deep Learning Framework to Predict Routability for FPGA Circuit Placement. In Int'l Conference on Field Programmable Logic and Applications. Barcelona Spain 1--8. A. Alhyari A. Shamli Z. Abuowaimer G. Grewal and S. Areibi. 2019. A Deep Learning Framework to Predict Routability for FPGA Circuit Placement. In Int'l Conference on Field Programmable Logic and Applications. Barcelona Spain 1--8.
3. RippleFPGA: Routability-Driven Simultaneous Packing and Placement for Modern FPGAs;Chen G.;IEEE Transactions on CAD and Systems,2018
4. F. Chollet. 2018.Deep Learning with Python. Manning. F. Chollet. 2018.Deep Learning with Python. Manning.
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