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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shijue Zheng Yan Zhang Tingting He |
| Copyright Year | 2009 |
| Abstract | In this paper, we use Genetic Algorithm to do the embedded system hardware-software co-design. The result indicates that the Genetic Algorithm can solve the problem of embedded system hardware-software co-design. An important task of embedded system design is to find an effective way of hardware-software implement. Since Genetic Algorithm is a very effective way to solve combination optimization problem, we use Genetic Algorithm to realize hardware-software partitioning. In order to satisfy the market factor of embedded system, this approach uses cost/performance ratio to balance the performance and the cost. We will give the model of the problem in this paper. |
| Starting Page | 219 |
| Ending Page | 222 |
| File Size | 246055 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769535593 |
| DOI | 10.1109/ICECT.2009.132 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-02-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Performance evaluation Costs cost Software performance Genetic Algorithm Application software Genetic algorithms Design optimization Software design performance Embedded system embedded system Software systems Hardware hardware-software partitioning |
| Content Type | Text |
| Resource Type | Article |
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