Optimise Semiconductor Chip Placement with Machine Learning
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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