论文部分内容阅读
缺陷图样识别(SPR)技术可以加速对良率损失问题的矫正。其面临的最大挑战在于如何配置SPR系统才能高效地处理现代fab所产生的海量数据,并对数据加以组织以提供快速一致的解决方案。
Defect pattern recognition (SPR) techniques can speed up the correction of yield loss problems. The biggest challenge it faces is how to configure the SPR system to efficiently handle the vast amounts of data generated by modern fabs and organize the data to provide a fast and consistent solution.