Abstract
This paper describes a yield learning infrastructure that has been developed and deployed to help rapidly ramp 65-nm random and systematic yield. This infrastructure consists of a 4-Mb addressable-array test circuit with >8000 unique test structures along with customized software and automated analysis routines to distill the large datasets generated. Examples of the successful application of this methodology are provided.
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