Add C++17 PERC Runtime Optimizer - #3
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Educational stand-in for Programmable Electrical Rules Checking with baseline vs ROI, hierarchical, parallel, incremental, and optimized engines to study signoff runtime on synthetic netlists. Co-authored-by: Sethupathi Balakrishnan <b.sethupathi@gmail.com>
Detailed 10-page paper covering PERC flows, fill/extract cost centers, synthetic (non-GDS) data model, engines, and measured runtime results. Includes generator script for regeneration via reportlab. Co-authored-by: Sethupathi Balakrishnan <b.sethupathi@gmail.com>
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Summary
Adds a strictly C++17 educational project for understanding PERC (Programmable Electrical Rules Checking) in physical design and experimenting with runtime optimizations.
White paper
Detailed PDF now in-repo:
PERC Runtime Optimizer/docs/PERC_Runtime_Optimizer_Whitepaper.pdf(10 pages). Covers industrial PERC flow, why P2P/CD + extract/fill dominate runtime, the synthetic non-GDS data model, engines, and measured results. Regenerate withpython3 docs/generate_whitepaper.py.What PERC is (see also
docs/PERC_OVERVIEW.md)What the code does
Synthetic hierarchical netlist + resistor graph (Dijkstra P2P), then engines:
baselineroihierarchicalparallelincremental/optimizedBuild / test
Bench highlights: warm incremental ≫ cold; ECO recheck only touches changed blocks; parallel helps P2P-heavy runs.