Machine Learning Based Design Space Exploration and Applications to Signal Integrity Analysis of 112Gb SerDes Systems

Alex Manukovsky,Yuriy Shlepnev,Zurab Khasidashvili

IEEE 71ST ELECTRONIC COMPONENTS AND TECHNOLOGY CONFERENCE (ECTC 2021)（2021）

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摘要

This paper describes a systematic approach for system design space exploration through the application of machine learning (ML) methods for advanced system analysis. A demonstration of applying this method for signal integrity analysis, and a case study of 112Gb SerDes systems analysis based on Channel Operating Margin (COM) simulation methodology, are provided.

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关键词

erDes design,ML based methods,COM,112Gb systems,Machine learning,simulation,Signal Integrity,PCB Design

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