Integrated Circuit Cell Layout Generation With Placement And Routing
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Solution Overview
Problem
Existing cell libraries for integrated circuit design are constructed manually, making automated cell layout generation difficult.
Innovation Solution
A cell layout generation device that includes a placer and a router to automatically generate and optimize cell layouts by determining transistor placements and routings based on predefined criteria, using an optimization engine to derive optimization parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual cell layout generation is used, then cell libraries can be constructed with high precision, but the process requires significant time and labor
Solution Approach 1:
The system performs preliminary actions by pre-defining placement criteria and routing criteria before actual cell layout generation. These criteria include design rules, optimization objectives, and constraints that are established in advance to guide the automated generation process, ensuring both precision and efficiency without manual intervention during the actual layout creation
Solution Approach 2:
The cell layout generation device performs self-service by automatically generating cell layouts using its own integrated placement and routing capabilities. The system uses its predefined criteria and optimization objectives to autonomously determine transistor placements and interconnect routings without requiring external manual guidance, thereby reducing time loss while maintaining manufacturing precision through its built-in optimization engine
2Productivity
If automated cell layout generation is implemented, then productivity increases, but manufacturing precision deteriorates due to lack of manual optimization
Solution Approach 1:
The optimization engine implements feedback by continuously evaluating the generated cell layout against predefined optimization objectives and constraints. The system assesses placement quality, routing efficiency, and compliance with design rules, then iteratively adjusts the layout to improve manufacturing precision while maintaining high productivity through automated feedback-driven optimization
Solution Approach 2:
The system applies parameter changes by adjusting placement parameters and routing parameters based on optimization objectives. The optimization engine modifies these parameters iteratively to achieve high-quality cell layouts that satisfy multiple constraints, thereby maintaining manufacturing precision while benefiting from automated generation speed
3Manufacturing precision
If multiple optimization objectives are considered, then the quality of cell layout improves, but the complexity of the generation process increases
Solution Approach 1:
The system segments the complex multi-objective optimization process into distinct functional modules: placement determination using placement criteria, routing determination using routing criteria, and optimization engine evaluation. Each module handles specific aspects of the optimization, managing complexity by dividing the overall process while maintaining high optimization quality through coordinated module interaction
Data Source
AI summary
The present disclosure relates to a cell layout generation device for integrated circuit design and a method using the same, and more particularly, to a cell layout generation device for integrated circuit design and a method using the same, the cell layout generation device including a cell layout generator configured to determine a placement corresponding to at least one transistor according to a predefined criterion based on data input to generate a cell layout, and generate the cell layout by determining a routing corresponding to the placement.


