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DTSTAMP:20260402T024534Z
LOCATION:Level 2 Lobby
DTSTART;TZID=America/Los_Angeles:20250623T180000
DTEND;TZID=America/Los_Angeles:20250623T190000
UID:dac_DAC 2025_sess287_LBR113@linklings.com
SUMMARY:Late Breaking Results: An Efficient and Scalable Track Assignment 
 with GPU Parallelism
DESCRIPTION:Genggeng Liu, Pengcheng Huang, and Zepeng Li (Fuzhou Universit
 y); Wen-Hao Liu (Nvidia); Xing Huang (Northwestern Polytechnical Universit
 y); and Wenzhong Guo (Fuzhou University)\n\nThe track assignment has been 
 introduced between the global routing and the detailed routing. Based on t
 he independence and divisibility of track assignment, we propose a GPU-acc
 elerated parallel track assignment algorithm. To estimate the routability 
 more accurately, the algorithm proposes a track assignment strategy consid
 ering both global and local net, and incorporating several strategies for 
 optimization. Moreover, an asynchronous parallelism strategy is proposed t
 o divide the computation of routing resources and the track assignment int
 o fine-grained tasks. Experimental results show that, compared to related 
 works, our algorithm achieves an overall speedup with a better routability
  estimation.\n\n
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