{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:13:09Z","timestamp":1750219989368,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T00:00:00Z","timestamp":1667433600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Samsung Electronics Company, Ltd.","award":["IO201216-08205-01, FOUNDRY-2020-10DD003F"],"award-info":[{"award-number":["IO201216-08205-01, FOUNDRY-2020-10DD003F"]}]},{"name":"National Research Foundation of Korea (NRF) by the Korea Government (MEST)","award":["2020-R1A4A4079177, 2021-R1A2C2008864"],"award-info":[{"award-number":["2020-R1A4A4079177, 2021-R1A2C2008864"]}]},{"name":"Institute of Information and communications Technology Planning and Evaluation (IITP) by Korea government (MSIT)","award":["2021-0-00754"],"award-info":[{"award-number":["2021-0-00754"]}]},{"name":"Software Systems for AI Semiconductor Design"},{"name":"BK21 Four Program of the Education and Research Program for Future ICT Pioneers, Seoul National University"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,11,3]]},"DOI":"10.1145\/3557988.3569710","type":"proceedings-article","created":{"date-parts":[[2023,1,27]],"date-time":"2023-01-27T17:09:28Z","timestamp":1674839368000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Neural Network Model for Detour Net Prediction"],"prefix":"10.1145","author":[{"given":"Jaehoon","family":"Ahn","sequence":"first","affiliation":[{"name":"Seoul National University, Gwanak-gu, Seoul, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Taewhan","family":"Kim","sequence":"additional","affiliation":[{"name":"Seoul National University, Gwanak-gu, Seoul, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,1,27]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"13","volume-title":"IEEE","author":"Xie Z.","year":"2020","unstructured":"Z. Xie , H. Ren , B. Khailany , Y. Sheng , S. Santosh , J. Hu , and Y. Chen , \" Powernet: Transferable dynamic ir drop estimation via maximum convolutional neural network,\" in Asia and South Pacific Design Automation Conference (ASP-DAC) . IEEE , 2020 , pp. 13 -- 18 . Z. Xie, H. Ren, B. Khailany, Y. Sheng, S. Santosh, J. Hu, and Y. Chen, \"Powernet: Transferable dynamic ir drop estimation via maximum convolutional neural network,\" in Asia and South Pacific Design Automation Conference (ASP-DAC). IEEE, 2020, pp. 13--18."},{"key":"e_1_3_2_1_2_1","first-page":"1","volume-title":"IEEE\/ACM","author":"Xie Z.","year":"2018","unstructured":"Z. Xie , Y.-H. Huang , G.-Q. Fang , H. Ren , S.-Y. Fang , Y. Chen , and J. Hu , \" Routenet: Routability prediction for mixed-size designs using convolutional neural network,\" in International Conference on Computer-Aided Design (ICCAD) . IEEE\/ACM , 2018 , pp. 1 -- 8 . Z. Xie, Y.-H. Huang, G.-Q. Fang, H. Ren, S.-Y. Fang, Y. Chen, and J. Hu, \"Routenet: Routability prediction for mixed-size designs using convolutional neural network,\" in International Conference on Computer-Aided Design (ICCAD). IEEE\/ACM, 2018, pp. 1--8."},{"key":"e_1_3_2_1_3_1","first-page":"135","volume-title":"ACM","author":"Liang R.","year":"2020","unstructured":"R. Liang , H. Xiang , D. Pandey , L. Reddy , S. Ramji , G.-J. Nam , and J. Hu , \" Drc hotspot prediction at sub-10nm process nodes using customized convolutional network,\" in International Symposium on Physical Design (ISPD) . ACM , 2020 , pp. 135 -- 142 . R. Liang, H. Xiang, D. Pandey, L. Reddy, S. Ramji, G.-J. Nam, and J. Hu, \"Drc hotspot prediction at sub-10nm process nodes using customized convolutional network,\" in International Symposium on Physical Design (ISPD). ACM, 2020, pp. 135--142."},{"key":"e_1_3_2_1_4_1","first-page":"1","volume-title":"IEEE\/ACM","author":"Barboza E. C.","year":"2019","unstructured":"E. C. Barboza , N. Shukla , Y. Chen , and J. Hu , \" Machine learning-based pre-routing timing prediction with reduced pessimism,\" in Design Automation Conference (DAC) . IEEE\/ACM , 2019 , pp. 1 -- 6 . E. C. Barboza, N. Shukla, Y. Chen, and J. Hu, \"Machine learning-based pre-routing timing prediction with reduced pessimism,\" in Design Automation Conference (DAC). IEEE\/ACM, 2019, pp. 1--6."},{"key":"e_1_3_2_1_5_1","first-page":"733","volume-title":"IEEE\/ACM","author":"Lu Y.-C.","year":"2021","unstructured":"Y.-C. Lu , S. Nath , V. Khandelwal , and S. K. Lim , \" Rl-sizer: Vlsi gate sizing for timing optimization using deep reinforcement learning,\" in Design Automation Conference (DAC) . IEEE\/ACM , 2021 , pp. 733 -- 738 . Y.-C. Lu, S. Nath, V. Khandelwal, and S. K. Lim, \"Rl-sizer: Vlsi gate sizing for timing optimization using deep reinforcement learning,\" in Design Automation Conference (DAC). IEEE\/ACM, 2021, pp. 733--738."},{"key":"e_1_3_2_1_6_1","first-page":"57","volume-title":"ACM","author":"Hung W.-T.","year":"2020","unstructured":"W.-T. Hung , J.-Y. Huang , Y.-C. Chou , C.-H. Tsai , and M. Chao , \" Transforming global routing report into drc violation map with convolutional neural network,\" in International Symposium on Physical Design (ISPD) . ACM , 2020 , pp. 57 -- 64 . W.-T. Hung, J.-Y. Huang, Y.-C. Chou, C.-H. Tsai, and M. Chao, \"Transforming global routing report into drc violation map with convolutional neural network,\" in International Symposium on Physical Design (ISPD). ACM, 2020, pp. 57--64."},{"key":"e_1_3_2_1_7_1","first-page":"234","volume-title":"U-net: Convolutional networks for biomedical image segmentation,\" in International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)","author":"Ronneberger O.","year":"2015","unstructured":"O. Ronneberger , P. Fischer , and T. Brox , \" U-net: Convolutional networks for biomedical image segmentation,\" in International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) . Springer , 2015 , pp. 234 -- 241 . O. Ronneberger, P. Fischer, and T. Brox, \"U-net: Convolutional networks for biomedical image segmentation,\" in International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). Springer, 2015, pp. 234--241."},{"key":"e_1_3_2_1_8_1","first-page":"1","volume-title":"IEEE\/ACM","author":"Baek K.","year":"2022","unstructured":"K. Baek , H. Park , S. Kim , K. Choi , and T. Kim , \" Pin accessibility and routing congestion aware drc hotspot prediction using graph neural network and u-net,\" in International Conference On Computer Aided Design (ICCAD) . IEEE\/ACM , 2022 , pp. 1 -- 8 . K. Baek, H. Park, S. Kim, K. Choi, and T. Kim, \"Pin accessibility and routing congestion aware drc hotspot prediction using graph neural network and u-net,\" in International Conference On Computer Aided Design (ICCAD). IEEE\/ACM, 2022, pp. 1--8."},{"key":"e_1_3_2_1_9_1","first-page":"770","volume-title":"IEEE","author":"He K.","year":"2016","unstructured":"K. He , X. Zhang , S. Ren , and J. Sun , \" Deep residual learning for image recognition,\" in Conference on Computer Vision and Pattern Recognition (CVPR) . IEEE , 2016 , pp. 770 -- 778 . K. He, X. Zhang, S. Ren, and J. Sun, \"Deep residual learning for image recognition,\" in Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2016, pp. 770--778."},{"key":"e_1_3_2_1_10_1","volume-title":"Automation & Test in Europe (DATE)","author":"Spindler P.","year":"2007","unstructured":"P. Spindler and F. M. Johannes , \" Fast and accurate routing demand estimation for efficient routability-driven placement,\" in Design , Automation & Test in Europe (DATE) . IEEE\/ACM , 2007 . P. Spindler and F. M. Johannes, \"Fast and accurate routing demand estimation for efficient routability-driven placement,\" in Design, Automation & Test in Europe (DATE). IEEE\/ACM, 2007."},{"key":"e_1_3_2_1_11_1","first-page":"1","volume-title":"IEEE\/ACM","author":"Chen J.","year":"2020","unstructured":"J. Chen , J. Kuang , G. Zhao , D. J.-H. Huang , and E. F. Young , \" Pros: A plug-in for routability optimization applied in the state-of-the-art commercial eda tool using deep learning,\" in International Conference On Computer Aided Design (ICCAD) . IEEE\/ACM , 2020 , pp. 1 -- 8 . J. Chen, J. Kuang, G. Zhao, D. J.-H. Huang, and E. F. Young, \"Pros: A plug-in for routability optimization applied in the state-of-the-art commercial eda tool using deep learning,\" in International Conference On Computer Aided Design (ICCAD). IEEE\/ACM, 2020, pp. 1--8."},{"key":"e_1_3_2_1_12_1","unstructured":"\"Nangate freepdk15 open cell library.\" [Online]. Available: http:\/\/www.nangate.com\/?pageid=2328.  \"Nangate freepdk15 open cell library.\" [Online]. Available: http:\/\/www.nangate.com\/?pageid=2328."},{"key":"e_1_3_2_1_13_1","unstructured":"Oliscience \"Opencores \" 1999. [Online]. Available: https:\/\/opencores.org  Oliscience \"Opencores \" 1999. [Online]. Available: https:\/\/opencores.org"}],"event":{"name":"ICCAD '22: IEEE\/ACM International Conference on Computer-Aided Design","sponsor":["SIGDA ACM Special Interest Group on Design Automation","IEEE CAS","IEEE CEDA"],"location":"San Diego California","acronym":"ICCAD '22"},"container-title":["Proceedings of the 24th ACM\/IEEE Workshop on System Level Interconnect Pathfinding"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3557988.3569710","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3557988.3569710","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:31Z","timestamp":1750182571000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3557988.3569710"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,3]]},"references-count":13,"alternative-id":["10.1145\/3557988.3569710","10.1145\/3557988"],"URL":"https:\/\/doi.org\/10.1145\/3557988.3569710","relation":{},"subject":[],"published":{"date-parts":[[2022,11,3]]},"assertion":[{"value":"2023-01-27","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}