Channel Characteristic-Based Deep Neural Network Models for Accurate Eye Diagram Estimation in High Bandwidth Memory (HBM) Silicon Interposer.
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| Title: | Channel Characteristic-Based Deep Neural Network Models for Accurate Eye Diagram Estimation in High Bandwidth Memory (HBM) Silicon Interposer. |
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| Authors: | Lho, Daehwan1, daehwan.lho@kaist.ac.kr, Park, Hyunwook1, hyunwookpark@kaist.ac.kr, Park, Shinyoung1, shinyoung.park@kaist.ac.kr, Kim, Subin1, subin.kim@kaist.ac.kr, Kang, Hyungmin1, hyungmin@kaist.ac.kr, Sim, Boogyo1, boogyo@kaist.ac.kr, Kim, Seongguk1, seonggukkim@kaist.ac.kr, Park, Junyong1, junyongpark@kaist.ac.kr, Cho, Kyungjun2, kyungjun@kaist.ac.kr, Song, Jinwook3, jinwook@kaist.ac.kr, Kim, Youngwoo4, youngwoo@is.naist.jp, Kim, Joungho1, joungho@kaist.ac.kr |
| Source: | IEEE Transactions on Electromagnetic Compatibility; Feb2022, Vol. 64 Issue 1, p196-208, 13p |
| Database: | Applied Science & Technology Source |
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