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

Improving Reliability Monitoring Of High-Bandwidth Memory


As the quest for increased bandwidth and speed continues, multi-die technologies with advanced memory architectures are introduced. As the complexity of these heterogenous packaging continues to develop, new reliability challenges arise. A new approach to HBM subsystem monitoring and repair provides advanced in-field reliability assurance. By applying analytics to data created by on-chip Age... » read more