Optimise Semiconductor Chip Placement with Machine Learning

Implementation Time:
24 months
Solution Provider: AI Singapore

How can Plunify speed up the chip design process using AI?

AI technologies, aimed at assisting human experts, are used to speed up the chip placement process

    – A chip placement consists of rectangular grids, with each grid containing parts of one or more modules
    – Convolutional neural networks and other deep learning architectures were used to improve the quality of chip placement by predicting good and bad placements with high accuracy
    – Computationally-efficient generative models were used to generate chip placements; AI models were used to predict good ones for production

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Implementation Time

24 months

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