8 citations · 18 across the 10 of their papers we have counts for
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cs.AR2023
LEAPS: Topological-Layout-Adaptable Multi-Die FPGA Placement for Super Long Line Minimization
Zhixiong Di, Runzhe Tao, Jing Mai +2
Multi-die FPGAs are crucial components in modern computing systems, particularly for high-performance applications such as artificial intelligence and data centers. Super long line…
cs.AR2023★ 1 cited
OpenPARF: An Open-Source Placement and Routing Framework for Large-Scale Heterogeneous FPGAs with Deep Learning Toolkit
Jing Mai, Jiarui Wang, Zhixiong Di +3
This paper proposes OpenPARF, an open-source placement and routing framework for large-scale FPGA designs. OpenPARF is implemented with the deep learning toolkit PyTorch and suppor…
cs.AR2023
Multi-Electrostatic FPGA Placement Considering SLICEL-SLICEM Heterogeneity, Clock Feasibility, and Timing Optimization
Jing Mai, Jiarui Wang, Zhixiong Di +1
When modern FPGA architecture becomes increasingly complicated, modern FPGA placement is a mixed optimization problem with multiple objectives, including wirelength, routability, t…