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Yuichi HAMAMURA Chizu MATSUMOTO Yoshiyuki TSUNODA Koji KAMODA Yoshio IWATA Kenji KANAMITSU Daisuke FUJIKI Fujihiko KOJIKA Hiromi FUJITA Yasuo NAKAGAWA Shun'ichi KANEKO
To improve product yield in high-product-mix semiconductor manufacturing, it is important to estimate the systematic yield inherent to each product and to extract problematic products that have low systematic yields. We propose a simplified and available yield model using a critical area analysis. This model enables the extraction of problematic products by the relationship between actual yields and the short sensitivities of the products. Furthermore, we present an enterprise-wide yield management system using this model and some useful applications. As a result, the system increases the efficiency of the yield management and enhancement dramatically.
Takumi UEZONO Kenichi OKADA Kazuya MASU
In this paper, we propose a via distribution model for yield estimation. This model expresses a relationship between the number of vias and wire length. We also provide an estimate for the total number of vias in a circuit, derived from the via distribution and the wire-length distribution. The via distribution is modeled as a function of track utilization, and the wire-length distribution can be derived from the gate-level netlist and the layout area. We extract model parameters from the commercial chips designed for 0.18-µm and 0.13-µm CMOS processes, and demonstrate the yield degradation caused by vias.