3 papers
cs.LG2026
Flash-CNNCap: Capacitance Extraction via Image Mapping
Hector R. Rodriguez, Jiechen Huang, Wenjian Yu
We present Flash-CNNCap, a CNN-based capacitance extractor that reformulates full-matrix capacitance prediction as image-to-image regression over spatial contribution maps. Prior s…
cs.LG2026
AttentionCap: Transformer Based Capacitance Matrix Learning Toward Full-Chip Extraction
Jiechen Huang, Hector R. Rodriguez, Dingcheng Yang +3
As capacitance extraction accuracy of rule-based pattern matching becomes difficult to sustain at advanced nodes, a growing trend emerges to develop deep-learning-based 2D capacita…
cs.AR2026
CapBench: A Multi-PDK Dataset for Machine-Learning-Based Post-Layout Capacitance Extraction
Hector R. Rodriguez, Jiechen Huang, Wenjian Yu
We present CapBench, a fully reproducible, multi-PDK dataset for capacitance extraction. The dataset is derived from open-source designs, including single-core CPUs, systems-on-chi…