Presentation
Late Breaking Results: A Unified Analytical Framework for MBFF Clustering and Placement for Timing, Power, and Area Co-Optimization
DescriptionThis paper presents a unified analytical multi-bit flip-flop (MBFF) clustering and placement framework that addresses industrial compatibility constraints while jointly optimizing timing, power, and area. Our framework combines (1) efficient timing and power models, (2) prioritized multi-density maps, and (3) a clustering-affinity mechanism. Together, they guide flip-flops toward merging-friendly regions and enable integrated placement and clustering. Our framework outperforms all teams in the 2025 ICCAD CAD Contest on Power and Timing Optimization Using Multi-Bit Flip-Flops, being the only approach to generate valid solutions across all testcases. Moreover, we refined the imbalanced contest library to better reflect clustering performance. Under this refined library, our method remains consistently superior.
Event Type
Late Breaking Results
TimeMonday, July 275:35pm - 5:38pm PDT
LocationExhibit Hall