Publication | Closed Access
Self-aligned double patterning decomposition for overlay minimization and hot spot detection
46
Citations
10
References
2011
Year
Unknown Venue
EngineeringSensor ArrayElectronic Design AutomationComputer ArchitectureComputer-aided DesignSadp Decomposition ProblemPhysical Design (Electronics)Overlay MinimizationImage AnalysisBeam LithographyPattern RecognitionSensor PlacementParallel ComputingEdge DetectionComputational GeometryGeometric ModelingMachine VisionSensor Signal ProcessingMultidimensional Signal ProcessingComputer EngineeringComputer ScienceHot SpotsSignal ProcessingHot Spot Detection3D PrintingComputer VisionNatural SciencesSelf-aligned Double Patterning
Self-aligned double patterning (SADP) lithography is a promising technology which can reduce the overlay and print 2D features for sub-32nm process. Yet, how to decompose a layout to minimize the overlay and perform hot spot detection is still an open problem. In this paper, we present an algorithm that can optimally solve the SADP decomposition problem. For a decomposable layout, our algorithm guarantees to find a decomposition solution that minimizes overlay. For a non-decomposable layout our algorithm guarantees to find all hot spots. Experimental results validate our method, and decomposition results for Nangate Open Cell Library and larger testcases are also provided with competitive runtimes.
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