{"title":"作为VLSI CAD工具的交互式良率估计器","authors":"I. Wagner, I. Koren","doi":"10.1109/DFTVS.1993.595763","DOIUrl":null,"url":null,"abstract":"The yield of a VLSI chip depends, among other factors, on the sensitivity of the chip to defects occurring during the fabrication process. To predict this sensitivity, one usually needs to compute the so-called critical area (A/sub c/) which reflects how many and how large the defects must be in order to result in a circuit failure. The main computational problem in yield estimation is to calculate A/sub c/ efficiently for complicated, irregular layouts. A novel approach is suggested for this problem that results in an algorithm to solve it efficiently. This algorithm is compared to other yield-prediction methods, which use either the Monte-Carlo approach (VLASIC) or a deterministic approach (SCA), and is shown to be faster. It also has the advantage that it can graphically show a detailed defect sensitivity map that can assist a physical designer in improving the yield of his/her layout.","PeriodicalId":213798,"journal":{"name":"Proceedings of 1993 IEEE International Workshop on Defect and Fault Tolerance in VLSI Systems","volume":"34 8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An interactive yield estimator as a VLSI CAD tool\",\"authors\":\"I. Wagner, I. Koren\",\"doi\":\"10.1109/DFTVS.1993.595763\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The yield of a VLSI chip depends, among other factors, on the sensitivity of the chip to defects occurring during the fabrication process. To predict this sensitivity, one usually needs to compute the so-called critical area (A/sub c/) which reflects how many and how large the defects must be in order to result in a circuit failure. The main computational problem in yield estimation is to calculate A/sub c/ efficiently for complicated, irregular layouts. A novel approach is suggested for this problem that results in an algorithm to solve it efficiently. This algorithm is compared to other yield-prediction methods, which use either the Monte-Carlo approach (VLASIC) or a deterministic approach (SCA), and is shown to be faster. It also has the advantage that it can graphically show a detailed defect sensitivity map that can assist a physical designer in improving the yield of his/her layout.\",\"PeriodicalId\":213798,\"journal\":{\"name\":\"Proceedings of 1993 IEEE International Workshop on Defect and Fault Tolerance in VLSI Systems\",\"volume\":\"34 8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1993 IEEE International Workshop on Defect and Fault Tolerance in VLSI Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DFTVS.1993.595763\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1993 IEEE International Workshop on Defect and Fault Tolerance in VLSI Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DFTVS.1993.595763","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The yield of a VLSI chip depends, among other factors, on the sensitivity of the chip to defects occurring during the fabrication process. To predict this sensitivity, one usually needs to compute the so-called critical area (A/sub c/) which reflects how many and how large the defects must be in order to result in a circuit failure. The main computational problem in yield estimation is to calculate A/sub c/ efficiently for complicated, irregular layouts. A novel approach is suggested for this problem that results in an algorithm to solve it efficiently. This algorithm is compared to other yield-prediction methods, which use either the Monte-Carlo approach (VLASIC) or a deterministic approach (SCA), and is shown to be faster. It also has the advantage that it can graphically show a detailed defect sensitivity map that can assist a physical designer in improving the yield of his/her layout.