FloorSet: The First Million-Scale Dataset for SoC Design Planning.
FloorSet is aimed at advancing machine learning for floorplanning physical layouts of systems-on-a-chip (SoCs) and its sub-systems. It features 2 million synthetic benchmark circuits that capture real design constraints and objectives, all carefully sampled from actual design distributions.
FloorSet addresses key challenges of training-data availability and reproducibility in the chip-design world, driving fundamental research in large-scale constrained optimization problems.
FloorSet: The First Million-Scale Dataset for SoC Design Planning.
FloorSet is aimed at advancing machine learning for floorplanning physical layouts of systems-on-a-chip (SoCs) and its sub-systems. It features 2 million synthetic benchmark circuits that capture real design constraints and objectives, all carefully sampled from actual design distributions.
FloorSet addresses key challenges of training-data availability and reproducibility in the chip-design world, driving fundamental research in large-scale constrained optimization problems.
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