2008
DOI: 10.1016/j.jprocont.2008.04.007
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Design for manufacturing meets advanced process control: A survey

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Cited by 10 publications
(3 citation statements)
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“…Ip(x, y; F ) for different random values of F (F 's statistical distribution can be characterized by standard methods in DesignFor-Manufacturability DFM [11]) are computed by a simulation model that employs Eqns.…”
Section: Optimization Algorithmmentioning
confidence: 99%
“…Ip(x, y; F ) for different random values of F (F 's statistical distribution can be characterized by standard methods in DesignFor-Manufacturability DFM [11]) are computed by a simulation model that employs Eqns.…”
Section: Optimization Algorithmmentioning
confidence: 99%
“…For sub-20nm technology nodes, the conventional transistor and lithography scaling purely relying on the tool and material development has hit significant difficulties [1][2][3][4][5][6][7] . Other avenues such as alternative device architecture, asymmetric pitch scaling, emerging material had to be exploited to achieve power/performance/area/cost (PPAC) scaling targets without shrinking design rules by a 0.7X factor.…”
Section: Introductionmentioning
confidence: 99%
“…Hence, design for manufacturing(DFM) [2] is proposed to meet advanced process control. Under different optical proximity effects(OPEs) including corner rounding, pulling back at the end of the narrow line, the wide variation of line widths and layout-dependent variations, some related algorithms [3][4][5][6] were proposed to minimize the clock skew in a variation-aware clock tree.…”
Section: Introductionmentioning
confidence: 99%