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An Improved Mixture of Experts Approach for Model Partitioning in VLSI-Design Using Genetic Algorithms

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.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:34495
Date11 July 2019
CreatorsHering, Klaus, Haupt, Reiner, Villmann, Thomas
PublisherUniversität Leipzig
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/publishedVersion, doc-type:book, info:eu-repo/semantics/book, doc-type:Text
SourceReport / Institut für Informatik, Report / Institut für Informatik
Rightsinfo:eu-repo/semantics/openAccess
Relationurn:nbn:de:bsz:15-qucosa2-343029, qucosa:34302

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