Optimal Graph Constraint Reduction for Symbolic Layout Compaction

Abstract.

The compaction problem in VLSI layout can be formulated as a linear program. To reduce the execution time and memory usage in compaction, it is important to reduce the size of the linear program. Since most constraints in compaction are derived directly or indirectly from physical separation and electrical connectivity requirements which can be expressed in the form of graph constraints, we study the graph constraint reduction problem. That is the problem of producing, for a given system of graph constraints, an equivalent system with the fewest graph constraints. After observing that the problem as previously formulated is NP-hard and overrestrictive in that the maximum possible reduction is not always attainable, we propose a new formulation in which the maximum possible reduction is guaranteed. We further present a polynomial-time algorithm for the new formulation.