Title :
An algebraic multigrid solver for analytical placement without layout based clustering
Author :
Hongyu Chen ; Chung-kuan Cheng ; Nan-Chi Chou ; Kahng, Andrew
Author_Institution :
CSE Dept., California Univ., San Diego, CA, USA
Abstract :
An efficient matrix solver is critical to the analytical placement. As the size of the matrix becomes huge, the multilevel methods turn out to be more efficient and more scalable. Algebraic Multigrid (AMG) is a multilevel technique to speedup the iterative matrix solver in K. Stuben (1999). We apply the algebraic multigrid method to solve the linear equations that arise from the analytical placement. A layout based clustering scheme is put forward to generate coarsening levels for the multigrid method. The experimental results show that the algebraic multigrid solver is promising for analytical placement.
Keywords :
differential equations; integrated circuit layout; matrix algebra; AMG; algebraic multigrid solver; analytical placement; coarsening level; layout based clustering; linear equation; matrix solver; multilevel method; Circuits; Clustering algorithms; Equations; Frequency; Graphics; Layout; Linear systems; Multigrid methods; Permission; Symmetric matrices;
Conference_Titel :
Design Automation Conference, 2003. Proceedings
Print_ISBN :
1-58113-688-9
DOI :
10.1109/DAC.2003.1219127