{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T14:13:48Z","timestamp":1766067228018,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,11,16]],"date-time":"2020-11-16T00:00:00Z","timestamp":1605484800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"NSERC -- Natural Sciences and Engineering Research Council","award":["NSERC Discovery Grant 401253"],"award-info":[{"award-number":["NSERC Discovery Grant 401253"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,11,16]]},"DOI":"10.1145\/3380446.3430618","type":"proceedings-article","created":{"date-parts":[[2020,11,24]],"date-time":"2020-11-24T22:27:07Z","timestamp":1606256827000},"page":"3-8","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["An Adaptive Analytic FPGA Placement Framework based on Deep-Learning"],"prefix":"10.1145","author":[{"given":"Abeer","family":"Al-hyari","sequence":"first","affiliation":[{"name":"University of Guelph, Guelph, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmed","family":"Shamli","sequence":"additional","affiliation":[{"name":"University of Guelph, Guelph, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Timothy","family":"Martin","sequence":"additional","affiliation":[{"name":"University of Guelph, Guelph, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shawki","family":"Areibi","sequence":"additional","affiliation":[{"name":"University of Guelph, Guelph, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gary","family":"Grewal","sequence":"additional","affiliation":[{"name":"University of Guelph, Guelph, ON, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,11,16]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3233244"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"crossref","unstructured":"A. Alhyari A. Shamli Z. Abuowaimer G. Grewal and S. Areibi. 2019. A Deep Learning Framework to Predict Routability for FPGA Circuit Placement. In Int'l Conference on Field Programmable Logic and Applications. Barcelona Spain 1--8.  A. Alhyari A. Shamli Z. Abuowaimer G. Grewal and S. Areibi. 2019. A Deep Learning Framework to Predict Routability for FPGA Circuit Placement. In Int'l Conference on Field Programmable Logic and Applications. Barcelona Spain 1--8.","DOI":"10.1109\/FPL.2019.00060"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2017.2778058"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.5555\/3203489"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.5555\/3086952"},{"key":"e_1_3_2_2_7_1","unstructured":"G. Grewal and S. Areibi. [n.d.]. \"Guelph FPGA CAD Group\". http:\/\/fpga.socs.uoguelph.ca\/.  G. Grewal and S. Areibi. [n.d.]. \"Guelph FPGA CAD Group\". http:\/\/fpga.socs.uoguelph.ca\/."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/3153803"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCAD.2017.2729349"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"crossref","unstructured":"D. Maarouf A. Alhyari Z. Abuowaimer T. Martin G. Grewal S. Areibi and A. Vannelli. 2018. A Machine Learning Congestion Estimation Model for Modern FPGAs. In IEEE Int'l Conference on Field Programmable Logic and Applications.Dublin Ireland 1--8.  D. Maarouf A. Alhyari Z. Abuowaimer T. Martin G. Grewal S. Areibi and A. Vannelli. 2018. A Machine Learning Congestion Estimation Model for Modern FPGAs. In IEEE Int'l Conference on Field Programmable Logic and Applications.Dublin Ireland 1--8.","DOI":"10.1109\/FPL.2018.00079"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"crossref","unstructured":"D. Marrouff A. Shamli T. Martin G. Grewal and S. Areibi. 2020. A Deep Learning Framework for Predicting Congestion during FPGA Placement. In 30th Int'l Conference on Field Programmable Logic and Applications. Sweden 138--144.  D. Marrouff A. Shamli T. Martin G. Grewal and S. Areibi. 2020. A Deep Learning Framework for Predicting Congestion during FPGA Placement. In 30th Int'l Conference on Field Programmable Logic and Applications. Sweden 138--144.","DOI":"10.1109\/FPL50879.2020.00033"},{"volume-title":"1st ACM\/IEEE Workshop on Machine Learning for CAD(MLCAD)","author":"Murray K.","key":"e_1_3_2_2_13_1","unstructured":"K. Murray and V. Betz . 2019. Adaptive FPGA Placement Optimization via Reinforcement Learning . In 1st ACM\/IEEE Workshop on Machine Learning for CAD(MLCAD) . Alberta, Canada, 1--6. K. Murray and V. Betz. 2019. Adaptive FPGA Placement Optimization via Reinforcement Learning. In 1st ACM\/IEEE Workshop on Machine Learning for CAD(MLCAD). Alberta, Canada, 1--6."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2003.819861"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.5555\/1975015.1975357"}],"event":{"name":"MLCAD '20: 2020 ACM\/IEEE Workshop on Machine Learning for CAD","sponsor":["SIGDA ACM Special Interest Group on Design Automation"],"location":"Virtual Event Iceland","acronym":"MLCAD '20"},"container-title":["Proceedings of the 2020 ACM\/IEEE Workshop on Machine Learning for CAD"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3380446.3430618","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3380446.3430618","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:41:20Z","timestamp":1750200080000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3380446.3430618"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,11,16]]},"references-count":16,"alternative-id":["10.1145\/3380446.3430618","10.1145\/3380446"],"URL":"https:\/\/doi.org\/10.1145\/3380446.3430618","relation":{},"subject":[],"published":{"date-parts":[[2020,11,16]]},"assertion":[{"value":"2020-11-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}