AMSNet: Netlist Dataset for AMS Circuits
This addresses a bottleneck for researchers in AMS IC design by providing a foundational dataset, though it is incremental as it builds on existing conversion techniques.
The authors tackled the lack of a dataset linking schematics to netlists for analog/mixed-signal circuits, creating AMSNet with transistor-level schematics and SPICE netlists to enable MLLM applications in circuit design.
Today's analog/mixed-signal (AMS) integrated circuit (IC) designs demand substantial manual intervention. The advent of multimodal large language models (MLLMs) has unveiled significant potential across various fields, suggesting their applicability in streamlining large-scale AMS IC design as well. A bottleneck in employing MLLMs for automatic AMS circuit generation is the absence of a comprehensive dataset delineating the schematic-netlist relationship. We therefore design an automatic technique for converting schematics into netlists, and create dataset AMSNet, encompassing transistor-level schematics and corresponding SPICE format netlists. With a growing size, AMSNet can significantly facilitate exploration of MLLM applications in AMS circuit design. We have made an initial set of netlists public, and will make both our netlist generation tool and the full dataset available upon publishing of this paper.