Table of Contents
VLSI Design
Volume 10, Issue 1, Pages 99-116

Analytical Engines are Unnecessary in Top-down Partitioning-based Placement

1IBM Austin Research Laboratory, Austin 78758, TX, USA
2UCLA Computer Science Dept., Los Angeles 90095-1596, CA, USA
3UCLA Mathematics Dept., Los Angeles 90095-1555, CA, USA
4Silicon Perspective Corp., Santa Clara 95054, CA, USA
5UCLA Anderson Graduate School of Management, Los Angeles 90095, CA, USA

Received 7 September 1998; Accepted 20 November 1998

Copyright © 1999 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The top-down “quadratic placement” methodology is rooted in such works as [36, 9, 32] and is reputedly the basis of commercial and in-house VLSI placement tools. This methodology iterates between two basic steps: solving sparse systems of linear equations to achieve a continuous placement solution, and “legalization” of the placement by transportation or partitioning. Our work, which extends [5], studies implementation choices and underlying motivations for the quadratic placement methodology. We first recall some observations from [5], e.g., that (i) Krylov subspace engines for solving sparse linear systems are more effective than traditional successive over-relaxation (SOR) engines [33] and (ii) that correlation convergence criteria can maintain solution quality while using substantially fewer solver iterations. The focus of our investigation is the coupling of numerical solvers to iterative partitioners that is a hallmark of the quadratic placement methodology. We provide evidence that this coupling may have historically been motivated by the pre-1990’s weakness of min-cut partitioners, i.e., numerical engines were needed to provide helpful hints to weak min-cut partitioners. In particular, we show that a modern multilevel FM implementation [2] derives no benefit from such coupling. We also show that most insights obtained from study of individual min-cut partitioning instances (within the top-down placement) also hold within the overall context of a complete top-down placer implementation.