Presentation
Machine Learning Optimization Switch cells.
DescriptionPower gating design is essential to save the power. It is important not only to design PDN (power delivery Networks) but also to place switch cells in terms of number and distributions.
It is necessary of switch cell ratio as Design Methodology to get robust power integrity by considering Static IR, Dynamic IR and Leakage from powerplan to eco.
However, designer face difficulty of Switch cells estimation as power from Switch cells in advance.
So, in ECO stage, if it there is not enough Switch cell, hard to insert more additional Switch cells in the empty area and to create additional PDN for Switch cell.
To solve the issues, optimal switch cell methodology is necessary with Machine learning.
Based on Linear Regression, optimal switch solution could be made by input parameters.
Without any tradeoff, design can be more robust. It leads to better Power integrity and TAT.
It is necessary of switch cell ratio as Design Methodology to get robust power integrity by considering Static IR, Dynamic IR and Leakage from powerplan to eco.
However, designer face difficulty of Switch cells estimation as power from Switch cells in advance.
So, in ECO stage, if it there is not enough Switch cell, hard to insert more additional Switch cells in the empty area and to create additional PDN for Switch cell.
To solve the issues, optimal switch cell methodology is necessary with Machine learning.
Based on Linear Regression, optimal switch solution could be made by input parameters.
Without any tradeoff, design can be more robust. It leads to better Power integrity and TAT.
Event Type
Engineering Track Poster
TimeTuesday, June 255:49pm - 5:50pm PDT
LocationLevel 2 Exhibit Hall
Back-End Design
Embedded Systems
Front-End Design
IP