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DTSTAMP:20260730T152640Z
LOCATION:Exhibit Hall
DTSTART;TZID=America/Los_Angeles:20260728T174400
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UID:dac_DAC 2026_sess306_LBR060@linklings.com
SUMMARY:Late Breaking Results: A Unified Analytical Framework for MBFF Clu
 stering and Placement for Timing, Power, and Area Co-Optimization
DESCRIPTION:Chuan-Chi Su, Yu-Sheng Yang, Cheng-Yen Li, Shao-Hsiang Chen, a
 nd Yao-Wen Chang (National Taiwan University)\n\nThis paper presents a uni
 fied analytical multi-bit flip-flop (MBFF) clustering and placement framew
 ork that addresses industrial compatibility constraints while jointly opti
 mizing timing, power, and area. Our framework combines (1) efficient timin
 g and power models, (2) prioritized multi-density maps, and (3) a clusteri
 ng-affinity mechanism. Together, they guide flip-flops toward merging-frie
 ndly regions and enable integrated placement and clustering. Our framework
  outperforms all teams in the 2025 ICCAD CAD Contest on Power and Timing O
 ptimization Using Multi-Bit Flip-Flops, being the only approach to generat
 e valid solutions across all testcases. Moreover, we refined the imbalance
 d contest library to better reflect clustering performance. Under this ref
 ined library, our method remains consistently superior.\n\nTrack: Student\
 n\n
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