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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.

Links:
📄 https://arxiv.org/abs/2405.05480
💾 https://github.com/IntelLabs/FloorSet

#floorplan #SoC #MLaimed #CAE #opensource
@fpgasic

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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.

Links:
📄 https://arxiv.org/abs/2405.05480
💾 https://github.com/IntelLabs/FloorSet

#floorplan #SoC #MLaimed #CAE #opensource
@fpgasic


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