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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]
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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INDEX TERMS
Primary Classification:
J.
Computer Applications
J.6
COMPUTER-AIDED ENGINEERING
Subjects:
Computer-aided design (CAD)
Additional Classification:
B.
Hardware
B.7
INTEGRATED CIRCUITS
B.7.2
Design Aids
Subjects:
Placement and routing
General Terms:
Algorithms,
Design
Keywords:
Multiple-project wafers (MPW),
compatibility graph,
conflict graph,
mixed-integer linear programming (MILP),
reticle floorplanning,
set cover,
set partition,
shuttle mask,
simulated annealing (SA),
wafer dicing
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