most citedDREAMPlaceFPGA-MP: An Open-Source GPU-Accelerated Macro Placer for Modern FPGAs with Cascade Shapes and Region Constraints

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2024

Automated Physical Design Watermarking Leveraging Graph Neural Networks

Ruisi Zhang, Rachel Selina Rajarathnam, David Z. Pan +1

This paper presents AutoMarks, an automated and transferable watermarking framework that leverages graph neural networks to reduce the watermark search overheads during the placeme…

cs.AR2023★ 2 cited

DREAMPlaceFPGA-MP: An Open-Source GPU-Accelerated Macro Placer for Modern FPGAs with Cascade Shapes and Region Constraints

Zhili Xiong, Rachel Selina Rajarathnam, Zhixing Jiang +2

FPGA macro placement plays a pivotal role in routability and timing closer to the modern FPGA physical design flow. In modern FPGAs, macros could be subject to complex cascade shap…