The Worst-Case Eye Prediction Algorithm for MIPI C-PHY Signaling on Mobile Artificial Intelligence (AI) Chips

This paper presents a novel method for efficiently estimating the worst-case eye diagram in MIPI C-PHY signaling. Conventional approaches for generating an eye diagram on this three-channel (four-conductor) transmission interface with particular three-phase encoding are time-intensive. To address th...

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Bibliographic Details
Main Authors: Cheng, Yu-Ying, Yang, Suani-Kai, Wu, Shih-Hsien, Wu, Tzong-Lin
Format: Conference Proceeding
Language:English
Subjects:
AI accelerators
Encoding
Estimation
eye diagram
Greedy algorithms
inter-symbol interference
MIPI C-PHY
Prediction algorithms
signal integrity
Transient analysis
worst-case estimation
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Summary:This paper presents a novel method for efficiently estimating the worst-case eye diagram in MIPI C-PHY signaling. Conventional approaches for generating an eye diagram on this three-channel (four-conductor) transmission interface with particular three-phase encoding are time-intensive. To address this challenge, a novel greedy algorithm is proposed that predicts the worst-case eye based on the single state response (SSR). In addition, the combination of the C-PHY interface and the AI-chip provides a better high-resolution display. Therefore, the method is applied successfully to predict C-PHY signaling on AI chips, with the results aligning well with the transient eye.
ISSN:2158-1118
DOI:10.1109/EMCSIPI49824.2024.10705461