The partitioning of complex processor models on the gate and register-transfer level
for parallel functional simulation based on the clock-cycle algorithm is considered. We
introduce a hierarchical partitioning scheme combining various partitioning algorithms
in the frame of a competing strategy. Melting together the di®erent partitioning results
within one level using superpositions we crossover to a mixture of experts one. This
approach is improved applying genetic algorithms. We present two new partitioning
algorithms (experts), the Backward-Cone-Concentration algorithm (n-BCC) and the
Minimum-Overlap Cone-Cluster algorithm (MOCC), both of them taking cones as
fundamental units for building partitions.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:34495 |
| Date | 11 July 2019 |
| Creators | Hering, Klaus, Haupt, Reiner, Villmann, Thomas |
| Publisher | Universität Leipzig |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:book, info:eu-repo/semantics/book, doc-type:Text |
| Source | Report / Institut für Informatik, Report / Institut für Informatik |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | urn:nbn:de:bsz:15-qucosa2-343029, qucosa:34302 |
Page generated in 0.0015 seconds