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| Content Provider | ACM Digital Library |
|---|---|
| Author | Nikolov, Plamen K. Ozev, Sule Liu, Fang |
| Copyright Year | 2008 |
| Abstract | Process variations play an increasingly important role on the success of analog circuits. State-of-the-art analog circuits are based on complex architectures and contain many hierarchical layers and parameters. Knowledge of the parameter variances and their contribution patterns is crucial for a successful design process. This information is valuable to find solutions for many problems in design, design automation, testing, and fault tolerance. In this article, we present a hierarchical variance analysis methodology for multistage analog circuits. Starting from the process/layout level, we derive implicit hierarchical relations and extract the sensitivity information analytically. We make use of previously computed values whenever possible so as to reduce computational time. The proposed approach is particularly geared for the domain of design and test automation, where multiple runs on slightly different circuits are necessary. Experimental results indicate that the proposed method provides both accuracy and computational efficiency when compared with prior approaches. |
| Starting Page | 1 |
| Ending Page | 28 |
| Page Count | 28 |
| File Format | |
| ISSN | 10844309 |
| e-ISSN | 15577309 |
| DOI | 10.1145/1344418.1344429 |
| Volume Number | 13 |
| Issue Number | 2 |
| Journal | ACM Transactions on Design Automation of Electronic Systems (TODAES) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2008-04-23 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Hierarchical variance analysis Analog circuits Parameter correlations Performance model Process variations |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Graphics and Computer-Aided Design Computer Science Applications Electrical and Electronic Engineering |
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