A Large-Scale Open-Source AI4EDA Dataset.
Physical Design
Data is extracted from commercial physical design flow, including floorplan, powerplan, placement, clock tree synthesis, routing, etc.
Samples
CircuitNet project contains 20K+ samples (including RISC-V CPU, GPU, and AI chip).
Technology
The realistic chip data is based on the commercial 28nm and 14nm PDKs.
Data Format
The data in CircuitNet is packed in the easy-to-use .npz format.
Supported Tasks
CircuitNet supports ML tasks on routability, IR-drop, timing, etc.
Tutorial
CircuitNet is equipped with tutorials for four prediction tasks.
What is CircuitNet?
CircuitNet is a large-scale open-source dataset dedicated to machine learning (ML) applications in electronic design automation (EDA) for chip design.
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