Bridging Fault Diagnosis to Identify the Layer of Systematic Defects

Autor: Hsing Jasmine Chao, Po-Juei Chen, James Chien-Mo Li
Rok vydání: 2009
Předmět:
Zdroj: Asian Test Symposium
DOI: 10.1109/ats.2009.58
Popis: Diagnosis for systematic defects is very critical for yield learning in nanometer technology. This paper presents a bridging fault diagnosis which identifies a single layer of systematic defects (LSD), where more than expected numbers of bridging faults are located. The proposed technique is a layout-aware diagnosis which contains bridging pair extraction, structural analysis, and layer-oriented covering. Instead of treating each failing CUT independently, a statistical method (Z-test) is applied to diagnose all CUTs simultaneously. Experiments on six of seven large ISCAS’89 benchmark circuits successfully diagnose LSD for single bridging fault as well as multiple bridging faults.
Databáze: OpenAIRE