Cadence Design Systems. has been granted a patent for a computer-implemented method that utilizes genetic algorithms for the placement of analog and mixed-signal circuit components. The method involves analyzing unplaced layouts, identifying instances for placement, and generating a final layout based on determined locations and orientations. GlobalData’s report on Cadence Design Systems gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Cadence Design Systems, Manufacturability analysis was a key innovation area identified from patents. Cadence Design Systems's grant share as of June 2024 was 85%. Grant share is based on the ratio of number of grants to total number of patents.
Genetic placement method for analog and mixed-signal circuits
The granted patent US12045730B1 outlines a computer-implemented method for the genetic placement of analog and mixed-signal circuit components. The method begins with the reception of an unplaced layout associated with an electronic circuit design, along with specific grouping requirements. It identifies instances that require placement and suitable areas within the layout. The analysis of these instances is conducted using a row-based data structure, which encodes a packing sequence based on random keys and a positional threshold. This structure includes a chromosome composed of genes and a row variable, which helps determine the appropriate row for each instance. The method culminates in generating a placed layout based on the determined locations and orientations of the instances.
Additionally, the patent describes the use of a cost function in the analysis process, which may consider factors such as minimum area and wirelength values. The method also allows for variations in aspect ratios and optimizes pin placements. It includes the iterative refinement of the placed layout based on a genetic code derived from the layout itself. The patent further encompasses a non-transitory computer-readable medium containing instructions for executing these operations, as well as a system that employs a genetic algorithm to facilitate the placement process. This system is designed to enhance the efficiency and effectiveness of circuit design by leveraging evolutionary analysis techniques.
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