Clustering a DAG for CAD Databases

  • Authors:
  • J. Banerjee;W. Kim;S.-J. Kim;J. F. Garza

  • Affiliations:
  • Unisys Corp., St. Paul, MN;MCC, Austin, TX;Univ. of Texas, Austin;MCC, Austin, TX

  • Venue:
  • IEEE Transactions on Software Engineering
  • Year:
  • 1988

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Abstract

A DAG (direct acyclic graph) is an important data structure which requires efficient support in CAD (computer-aided design) databases. It typically arise from the design hierarchy, which describes complex designs in terms of subdesigns. A study is made of the properties of the three types of clustered sequences of nodes for hierarchies and DAGs, and algorithms are developed for generating the clustered sequences, retrieving the descendants of a given node, and inserting new nodes into existing clustered sequences of nodes which preserve their clustering properties. The performance of the clustering sequences is compared.