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In-field, In-Mission Reliability Monitoring Based On Deep Data


This paper describes a Deep Data approach to reliability monitoring in advanced electronics, based on degradation as a precursor for failure. By applying machine learning algorithms and analytics to data created by on-chip monitoring IPs (Agents), IC/system health and performance can be continuously monitored, at all stages of the product lifecycle. Realtime degradation analysis of critical par... » read more

Monitoring Performance From Inside A Chip


Deep data, which is generated inside the chip rather than externally, is becoming more critical at each new process node and in advanced packages. Uzi Baruch, chief strategy officer at proteanTecs, talks with Semiconductor Engineering about using that data to identify potential problems before they result in failures in the field, and why it's essential to monitor these devices throughout their... » read more

Multi-Layer Deep Data Performance Monitoring And Optimization


Combining functional and parametric monitoring of the real-world behavior of complex SoCs provides a powerful new approach that facilitates performance optimization during development and in the field, improves security and safety, and enables predictive maintenance to prevent field failures. proteanTecs’ Universal Chip Telemetry (UCT) and Siemens’ Tessent Embedded Analytics are complementa... » read more