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iPCL-M

Metric evaluation and optimization head: layout quality metrics and optimization guidance on the pre-trained backbone.

Open EDAAI-readyCommunity docsLive TOC
doc — ipcl-m
# open iEDA stack
$ ieda open ipcl-m
[nav ] module linked         ok
[docs] pages indexed         ok
[ai  ] state exportable      ok
→ continue exploring
iMapsynthesisiFPfloorplaniPDNpoweriPLplacementiCTSclockiTOoptimizationiRTroutingiSTAtimingAiEDAdesign dataiPCLlayout modeliMapsynthesisiFPfloorplaniPDNpoweriPLplacementiCTSclockiTOoptimizationiRTroutingiSTAtimingAiEDAdesign dataiPCLlayout model
2Pages here
RTL→GDSOpen flow
AIExportable state
GPL-3.0License

Product positioning

Metric evaluation and optimization head: layout quality metrics and optimization guidance on the pre-trained backbone.

iPCL is iEDA.ai's layout pre-training product direction: one backbone, multiple task heads, linking Dataset and the physical implementation toolchain. See iPCL paper cards in the research matrix.

Build with open intermediate state

Every page connects back to executable tools and AI-ready design data.