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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chi-Yuan Chang |
| Copyright Year | 2010 |
| Description | Author affiliation: Department of Computer Science and Information Engineering, Jinwen University of Science Technology, Taipei, Taiwan (Chi-Yuan Chang) |
| Abstract | Future computers will need to incorporate the parallelism of optical interconnections in order to achieve projected performance within reasonable size, power, and speed. Optical interconnection provides more advantage than traditional electrical interconnection in large system. In this paper we will propose a Markov model to determine the number of random patterns required for testing of optical interconnect. We describe the random vector to test interconnect and show that a little of random vectors can give close to 100% detection quality. The faults under consideration include stuck-at faults and bridging (short) faults. The simulation results suggest that if the length of boundary scan is large, the traditional method on minimization of test vectors may not lead to a better result. In stead, one should concentrate on choosing the random vector. |
| Starting Page | 2653 |
| Ending Page | 2657 |
| File Size | 161818 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424465262 |
| e-ISBN | 9781424465279 |
| DOI | 10.1109/ICMLC.2010.5580914 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-11 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Markov processes Optical interconnections Testing Integrated circuit interconnections Driver circuits Computers Machine learning Markov model Interconnects Random Testing |
| Content Type | Text |
| Resource Type | Article |
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