172 citations · 275 across the 16 of their papers we have counts for
5 papers · 1 filter
Imbalanced Large Graph Learning Framework for FPGA Logic Elements Packing Prediction
Zhixiong Di, Runzhe Tao, Lin Chen +2
Packing is a required step in a typical FPGA CAD flow. It has high impacts to the performance of FPGA placement and routing. Early prediction of packing results can guide design op…
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…
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…
HybridNet: Dual-Branch Fusion of Geometrical and Topological Views for VLSI Congestion Prediction
Yuxiang Zhao, Zhuomin Chai, Yibo Lin +2
Accurate early congestion prediction can prevent unpleasant surprises at the routing stage, playing a crucial character in assisting designers to iterate faster in VLSI design cycl…
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…