MIRA-Lab/ChiPBench-D
ChiPBench-D ChiPBench:Benchmarking End-to-End Performance of AI-based Chip Placement Algorithms Chip placement is a critical step in the Electronic Design Automation (EDA) workflow, which aims to arrange chip modules on the canvas to optimize the performance, power, and area (PPA) metrics of final designs.Recent advances show great potential of AI-based algorithms in chip placement.However, due to the lengthy EDA workflow, evaluations of these algorithms often focus on intermediate… See the full description on the dataset page: https://huggingface.co/datasets/MIRA-Lab/ChiPBench-D.
| Author / organization | MIRA-Lab |
|---|---|
| License (as declared) | bsd-3-clause |
| Downloads | 1.6K (as reported by Hugging Face) |
| Likes | 3 |
| Created | 31 July 2024 |
| Last updated at source | 1 June 2025 |
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