AI & ML
A flexible language model-assisted electronic design automation framework
arXiv cs.SY0 views
arXiv:2601.14098v2 Announce Type: replace Abstract: Large language models (LLMs) are transforming electronic design automation (EDA) by enhancing design stages such as schematic design, simulation, netlist synthesis, and place-and-route. Existing methods primarily focus these optimisations within isolated open-source EDA tools and often lack the flexibility to handle multiple domains, such as analogue, digital, and radio-frequency design. In contrast, modern systems require to interface with commercial EDA environments, adhere to tool-specific operation rules, and incorporate feedback from design outcomes while supporting diverse design flows. We propose a versatile framework that uses LLMs to generate files compatible with commercial EDA tools and optimise designs using power-performance-area reports. This is accomplished by guiding the LLMs with tool constraints and feedback from design outputs to meet tool requirements and user specifications. The framework is used to evaluate case studies on operational transconductance amplifiers, microstrip patch antennas, and FPGA circuits.
Source:https://arxiv.org/abs/2601.14098PreviousConQUESTA: Topology-Aware Post-Training Structural Pruning of Quantum Neural NetworksNextResidential Peak Load Reduction via Direct Load Control under Limited Information
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