Attractor-repeller approach for global placement

Traditionally, analytic placement used linear or quadratic wirelength objective functions. Minimizing either formulation attracts cells sharing common signals (nets) together. The result is a placement with a great deal of overlap among the cells. To reduce cell overlap, the methodology iterates between global optimization and repartitioning of the placement area. In this work, we added new attractive and repulsive forces to the traditional formulation so that overlap among cells is diminished without repartitioning the placement area. The superiority of our approach stems from the fact that our new formulations are convex and no hard constraints are required. A preliminary version of the new placement method is tested using a set of MCNC benchmarks 1 and , on average, the new method achieved and reduction in wirelength and CPU time compared to TimberWolf v7.0 in hierarchical mode [10].

• Type: Conference
• Year: 1999
• Where: ICCAD
• Authors: Hussein Etawil, Shawki Areibi, Anthony Vannelli
• Keywords: Formulation Attracts Cells, Hardware, ICCAD 1999, Placement Area, Placement Used Linear