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| Content Provider | ACM Digital Library |
|---|---|
| Author | He, Chen Bijansky, Stephen Jacome, Margarida de Veciana, Gustavo |
| Abstract | Recent successes in the development and self-assembly of nanoelectronic devices suggest that the ability to manufacture dense nanofabrics is on the near horizon. However, the tremendous increase in device density of nanoelectronics will be accompanied by a substantial increase in hard and soft faults, posing a major challenge to current design methodologies and tools. In this paper we propose a novel probabilistic design paradigm for defective but reconfigurable nanofabrics. The new design goal is to devise an appropriate structural/behavioral decomposition which improves scalability by constraining the reconfiguration process, while meeting a desired probability of successful instantiation, i.e, yield. Our approach not only addresses the scalability problem in configuring dense nanofabrics subject to defects, but gives a rich framework in which critical trade-offs among performance, yield, and per chip cost can be explored. We present a concrete instance of the approach and show extensive experimental results supporting these claims. |
| Starting Page | 596 |
| Ending Page | 601 |
| Page Count | 6 |
| File Format | |
| ISBN | 1581138288 |
| DOI | 10.1145/996566.996730 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2004-06-07 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Nanotechnologies Probabilistic design Defect tolerance |
| Content Type | Text |
| Resource Type | Article |
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