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ML based PPA Push using XAI
DescriptionAs the technology node scales down continuously, the complexity of the chip design has increased. The electronic design automation (EDA) tools also need to be flexible to handle the design complexity.
Advanced EDA tools offer numerous tunable parameters that can greatly affect physical design quality.
As the demand to achieve improved results (time to market) faster is growing, physical engineer face challenges that are impossible to keep pace with conventional approaches taking months to manually tune parameters with hundreds of trials.Moreover, even if engineers manage to find the best recipe through vast design space exploration for a given design, it is likely to be a one-time solution that is difficult to apply to another design unless the influence of various parameters cannot be understood sufficiently.
Therefore, we propose an ML based PPA push work flow using XAI which not only obtains the golden recipe for a given design, but also understands the influence of the parameters used.