Affiliation:
1. Yuan Ze University, Chung-Li, Taiwan
Abstract
Chip placement in a reticle is crucial to the cost of a multiproject wafer run. In this article we develop several chip placement methods based on the volume-driven compatibility optimization (VOCO) concept, which maximizes dicing compatibility among chips with large-volume requirements while minimizing reticle dimensions. Our mixed-integer linear programming models with VOCO are too complex to render good solutions for large test cases. Our B*-tree with VOCO and HQ with VOCO use 16%∼ 29% fewer wafers and 8%∼ 19% less reticle area than the hierarchical quadrisection (HQ) method proposed by Kahng et al. [2005]
Funder
National Science Council Taiwan
Publisher
Association for Computing Machinery (ACM)
Subject
Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications
Cited by
6 articles.
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