Multi-Task Learning Models for Predicting Timing, Power, and Signal  Integrity in Chip Design

Hameed Ul Hassan Mohammed ,Marcus Rodriguez,

Multi-Task Learning Models for Predicting Timing, Power, and Signal Integrity in Chip Design

Authors

Hameed Ul Hassan Mohammed ,Marcus Rodriguez,

Keywords:

Multi-Task Learning, Timing, Power, Signal Integrity, Prediction, Chip Design

Abstract

Innovation of semiconductor chip design nowadays, timing, power consumption and Signal Integrity
(SI) are all of importance in solving problem of predicting accurate signals in new semiconductor chip
designs. The modern electronic design automation

References

. Chai, Zhuomin, et al. "Fast and Accurate Cross-PVT Full-Chip Leakage Power Estimation With Multi-Task Learning." IEEE Access (2023).

. Ouyang, Yikang, et al. "Asap: Accurate synthesis analysis and prediction with multi-task learning." 2023 ACM/IEEE 5th Workshop on Machine Learning for CAD (MLCAD). IEEE, 2023.

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Published

2024-08-20

How to Cite

Hameed Ul Hassan Mohammed ,Marcus Rodriguez,. (2024). Multi-Task Learning Models for Predicting Timing, Power, and Signal Integrity in Chip Design. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 5922–5934. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3479