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Breakthrough For Scan Diagnosis With Machine Learning


Cell-aware diagnosis is a new and effective way to detect defects inside standard cells. Industry standard failure analysis (FA) results from a major foundry show that cell-aware diagnosis is very effective at increasing the resolution of the diagnosis by reducing the number of suspects in cell-internal defect data. With advanced technology nodes, we have more complex layout structures and f... » read more

Getting A Clearer Picture


Scan test diagnosis is an established software-based methodology for localizing defects causing failures in digital semiconductor devices. Using structural test patterns (such as ATPG) and the design description, diagnosis turns failing test cycles into valuable data. Exactly how valuable this data is depends on the quality of the diagnosis results. A result that points to a small group of nets... » read more