Partitioning very large circuits using analytical placement techniques

Bernhard M. Riess, Konrad Doll, Frank M. Johannes

Research output: Contribution to journalConference articlepeer-review

47 Scopus citations

Abstract

A new partitioning approach for very large circuits is described. We demonstrate that applying a recently developed analytical placement algorithm, that profits from a linear objective function, significantly improves the partitioning quality compared to the well-known eigenvector approach, which minimizes a quadratic objective function. For the first time, results of benchmark circuits with up to 100,000 cells are presented. The cut-size and the minimum ratio cut is improved up to 90%. The average improvement is about 50%.

Original languageEnglish
Pages (from-to)646-651
Number of pages6
JournalProceedings - Design Automation Conference
DOIs
StatePublished - 1994
EventProceedings of the 31st Design Automation Conference - San Diego, CA, USA
Duration: 6 Jun 199410 Jun 1994

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