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Library PPA DTCO with Library Profiler

DescriptionStandard cell technology is advancing rapidly, with each new generation introducing greater complexity and heightened design challenges. As designs evolve, meeting critical design goals across new processes becomes increasingly demanding, making Design-Technology Co-Optimization (DTCO) more important than ever. To support these goals and address rising expectations for performance, efficiency, and scale, designers rely on quantifying and comparing IPs using Power, Performance, and Area (PPA) metrics. These PPA values, extracted from Liberty (.lib) data, play a crucial role in enabling early IP selection during the design flow.

A key to measuring the progress of each technology node is the ability to compare it against past designs and processes. Historically, specialized tools for precise cell-to-cell PPA analysis across different technologies did not exist, making trend verification and anomaly detection challenging. Effective cross-technology comparisons would help designers confirm expected improvements or identify outlier results.

This paper presents a novel approach utilizing Siemens' Solido Library Profiler solution to perform robust PPA analysis across multiple technologies. By efficiently extracting, loading, and storing PPA data, this tool enables quick, visual comparison of new and legacy technologies, supporting comprehensive DTCO activities and confident development direction.

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