EDA-Schema-V2 provides a structured multimodal schema, open datasets spanning 7776 instances from 18 circuits across four process nodes, and baselines for twelve ML prediction tasks on timing, power, area, and routing metrics.
An optimization-aware prerouting timing prediction framework based on multimodal learning,
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EDA-Schema-V2: A Multimodal Schema, Open Datasets, and Benchmarks for Machine Learning in Digital Physical Design
EDA-Schema-V2 provides a structured multimodal schema, open datasets spanning 7776 instances from 18 circuits across four process nodes, and baselines for twelve ML prediction tasks on timing, power, area, and routing metrics.