Silicon Correlation in SLM: An Integrated Strategy for Chip Performance Optimization

Ever increasing complexities and performance requirements of chips necessitates paradigm shift from our traditional approaches. This translates into the need for continuous monitoring and optimization though out the life cycle of the chip. Silicon life cycle management coupled with silicon correlation offers an innovative solution for this challenge. Silicon correlation in SLM (Silicon Lifecycle Management) serves as strategic tool to ensure the predictive fidelity of design models while bridging gap between pre-silicon models and post-silicon realities. The holistic approach enables consistent prediction of device performance, reliability anomalies and process variations. This paper outlines an integrated strategy that enhances chip performance by utilizing data from pre- and post- silicon phases, perform correlation, delve into the challenges associated with flow and methodology of integrating SLM IPs into the design process. Using a case study, we discuss the data extraction techniques and the analysis of gap-to-target silicon data to demonstrate practical applications of our strategy. In essence, silicon correlation gives actional insights into chip health, enabling more precise decision-making to meet performance targets.