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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Augeri, C.J. Ali, H.H. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dept. of Comput. Sci., US Air Force Acad., CO, USA (Augeri, C.J.) |
| Abstract | When designing a circuit, it may be too large to fit on a single layer of a chip, on a single chip, or on a single board. Regardless of the design level, the same objectives remain. Normally, it is desirable to minimize the number of layers, chips, or boards, along with minimizing the delay. Additional constraints, such as the number of interconnections and power consumption, must often be considered. We have developed two k-way bounded partitioning algorithms; one is evolutionary-based, while the other is a hierarchical graph center-based approach. The algorithms are implemented and compared with known partitioning algorithms. Since VLSI circuits can be naturally modeled by graphs, experiments were conducted by partitioning graphs from various graph families against both simulated and real-world partitioning criteria. A direct result of this research is a high-level abstract graph-partitioning model. This model allows one to specify mathematical evaluation metrics and control parameters, permitting inter-domain comparison of algorithms and allowing one to identify the particular scenarios they are best applicable to. |
| Sponsorship | IEEE Circuits and Syst. Soc |
| File Size | 266519 |
| File Format | |
| ISBN | 078038251X |
| DOI | 10.1109/ISCAS.2004.1329055 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-05-23 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Partitioning algorithms Very large scale integration Delay Clustering algorithms Computer science Wire Integrated circuit interconnections Energy consumption Circuit simulation Mathematical model |
| Content Type | Text |
| Resource Type | Article |
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