This page tracks comparative ranking across open evaluation tasks in the iEDA research stack. Rankings help teams reproduce baselines and compare algorithms under shared metrics.
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iMapsynthesisiFPfloorplaniPDNpoweriPLplacementiCTSclockiTOoptimizationiRTroutingiSTAtimingAiEDAdesign dataiPCLlayout modeliMapsynthesisiFPfloorplaniPDNpoweriPLplacementiCTSclockiTOoptimizationiRTroutingiSTAtimingAiEDAdesign dataiPCLlayout model
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Overview
This page tracks comparative ranking across open evaluation tasks in the iEDA research stack. Rankings help teams reproduce baselines and compare algorithms under shared metrics.
How to read rankings
Higher scores generally mean better quality under the published metric.
Always check the associated dataset version and script commit.
Prefer results that publish both runtime and quality numbers.
Next steps
Browse the benchmark hub and related paper lists to reproduce a baseline end to end.