Data processing: structural design – modeling – simulation – and em – Modeling by mathematical expression
Reexamination Certificate
2008-12-02
2011-12-06
Frejd, Russell (Department: 2128)
Data processing: structural design, modeling, simulation, and em
Modeling by mathematical expression
C709S201000
Reexamination Certificate
active
08073661
ABSTRACT:
An overlap amount definition section defines an amount of overlap between divided regions when a shape prediction objective region in a polished surface formed by chemical mechanical polishing is divided into a plurality of regions. A shape prediction computation processing section divides the objective region into the plurality of regions each of which includes a region corresponding to the overlap amount defined by the overlap amount definition section, and performs computation for shape prediction on each divided region by distributed processing. A merging processing section combines the results of shape prediction on the divided regions that are calculated by the shape prediction computation processing section.
REFERENCES:
patent: 6044213 (2000-03-01), Akiyama
patent: 7108580 (2006-09-01), Ushio et al.
patent: 7216320 (2007-05-01), Chang et al.
patent: 7360191 (2008-04-01), Chang et al.
patent: 7549143 (2009-06-01), Alvarez-Gomariz et al.
patent: 7648809 (2010-01-01), Nakasugi
patent: 7686673 (2010-03-01), Senga et al.
patent: 7716628 (2010-05-01), Tanaka et al.
patent: 2004/0248411 (2004-12-01), Ushio et al.
patent: 2010/0233937 (2010-09-01), Senga et al.
patent: 09-008038 (1997-01-01), None
patent: 3334796 (2002-08-01), None
patent: 2003-282495 (2003-10-01), None
Elpida Memory Inc.
Frejd Russell
Sughrue & Mion, PLLC
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