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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jin-Tai Yan |
| Copyright Year | 1995 |
| Description | Author affiliation: Dept. of Comput. & Inf. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan (Jin-Tai Yan) |
| Abstract | In this paper, a genetic approach for the orientation assignment is proposed to minimize total wire length on one cell-based layout. In general, the placement phase in physical design places a set of cells with minimum area or total wire length. It is assumed that all the pins on the cells have been assigned on the fixed positions after the placement phase. In order to reduce the routing area, another advanced improvement will be done to minimize total wire length by assigning the orientation states of cells. In the proposed genetic approach, for any fixed layout, we represent each cell on the layout by a vertical orientation bit and a horizontal orientation bit. Furthermore, the genetic approach assigns the feasible vertical and horizontal states to minimize total wire length. Finally, the proposed approach has been implemented and several benchmarks tested for the orientation assignment. The experimental results show that the proposed genetic approach is effective on these tested benchmarks. |
| Starting Page | 33 |
| Ending Page | 36 |
| File Size | 456383 |
| Page Count | 4 |
| File Format | |
| ISBN | 0818672285 |
| ISSN | 10639667 |
| DOI | 10.1109/ICVD.1996.489450 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-01-03 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Genetics Wire Routing Pins Cost function Simulated annealing Information science Benchmark testing Computational modeling Computer networks |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Hardware and Architecture |
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