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DTSTAMP:20240626T180034Z
LOCATION:Level 2 Lobby
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UID:dac_DAC 2024_sess237_RESEARCH617@linklings.com
SUMMARY:PCBench: A Dataset for Printed Circuit Board Routing
DESCRIPTION:Work-in-Progress Poster\n\nYoubiao He, Jacob Frieden, Hebi Li,
  Roba Abbajabal, Ge Luo, and Forrest Sheng Bao (Iowa State University)\n\n
 Routing is a crucial step in designing a printed circuit board (PCB). Howe
 ver, evaluating and comparing automatic PCB routers are challenging due to
  the lack of common datasets. Consequently, many publications use small, u
 ndisclosed test sets to compare themselves against baselines. To address t
 hese issues, we curate PCBench, a dataset of PCB routing problems and solu
 tions after stringent quality check on community-endorsed, open-source PCB
  designs. Our dataset is 100 times larger than those used in existing publ
 ications and can be further expanded by the community using our scripts  s
 upporting multiple input formats. To allow more computational professional
 s, especially those from the Machine Learning (ML) community, to advance P
 CB routing research, we propose a JSON-based syntax to represent PCB routi
 ng problems and their solutions using common math objects and data structu
 res that anyone with basic computing training can understand. We hope this
  dataset can facilitate the PCB routing research, especially those using  
 ML.\n\nTopic: AI, Autonomous Systems, Cloud, Design, EDA, Embedded Systems
 , IP, Security
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