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Accelerating NPI with Deep Data: From First Silicon to Volume

Source

SemiWiki

Published

TL;DR

AI Generated

Traditional post-silicon validation methods in semiconductor design are insufficient for modern complexities, leading to issues with capturing path-specific outcomes due to local variations and dynamic conditions. proteanTecs' on-chip monitoring solution offers real-time deep data collection to enhance visibility into chip performance and reliability, enabling early issue detection and characterization. The integration of advanced analytics with high-resolution data helps correlate design expectations with actual silicon behavior, improving the characterization process and root-cause analysis. Smart models leverage detailed chip-specific measurements to resolve yield-quality trade-offs, allowing for higher yields without sacrificing reliability. Continuous monitoring throughout the New Product Introduction (NPI) lifecycle, including during HTOL and in-field operation, provides actionable insights that improve long-term product performance and risk management.