Solution: Advanced Overlap Optimization with Adaptive Penalty#38
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Solution: Advanced Overlap Optimization with Adaptive Penalty#38willpartcl wants to merge 3 commits intomainfrom
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Implementation details: - Vectorized overlap detection using ReLU-based pairwise calculation - log(1+x^2) penalty function for numerical stability and strong gradients - Adaptive lambda scaling (1x to 5x over training) to escape local minima - Cosine annealing learning rate scheduler - Early stopping when all overlaps eliminated - Increased to 5000 epochs with lr=0.1 for better convergence Results on tests 1-9: - Average Overlap: 0.0135 (1.35%) - Average Wirelength: 0.5424 - 5/9 tests passed (0.0000 overlap) - Runtime: 520s (~9 minutes) Note: Tests 10-12 (2k-100k cells) require spatial data structures for O(N^2) to scale. Current pairwise approach is computationally infeasible for designs >1000 cells. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
- Small designs (<50 cells): 5000 epochs - Medium designs (50-150 cells): 3000 epochs - Large designs (150-500 cells): 2000 epochs - Very large (500-2000 cells): 1000 epochs - Huge (>2000 cells): 500 epochs This makes runtime more reasonable for large designs, though O(N²) pairwise approach still struggles with 1000+ cells. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
Tests 1-9 results: - Average Overlap: 0.0135 (1.35%) - Average Wirelength: 0.5424 - Runtime: 520s - 5/9 tests with 0.0000 overlap Tests 10-12 (2k-100k cells) not included due to O(N²) computational complexity. Requires spatial data structures for production-scale optimization. Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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Summary
Implemented the
overlap_repulsion_loss()function with advanced optimization techniques to minimize cell overlaps in VLSI placement.Key Features
Results (Tests 1-9)
Test Details
Known Limitations
Tests 10-12 (2k-100k cells) are computationally infeasible with the current O(N²) pairwise approach. These require spatial data structures (quadtrees, R-trees) for practical performance.
Next Steps
Working on spatial acceleration structures to handle large-scale designs efficiently.
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