cs.AI updates on arXiv.org 07月08日 13:54
ForgeHLS: A Large-Scale, Open-Source Dataset for High-Level Synthesis
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ForgeEDA开源电路数据集包含多种电路表示,支持EDA算法优化和AI模型训练,推动现代IC设计和EDA创新。

arXiv:2507.03255v1 Announce Type: cross Abstract: We introduce ForgeEDA, an open-source comprehensive circuit dataset across various categories. ForgeEDA includes diverse circuit representations such as Register Transfer Level (RTL) code, Post-mapping (PM) netlists, And-Inverter Graphs (AIGs), and placed netlists, enabling comprehensive analysis and development. We demonstrate ForgeEDA's utility by benchmarking state-of-the-art EDA algorithms on critical tasks such as Power, Performance, and Area (PPA) optimization, highlighting its ability to expose performance gaps and drive advancements. Additionally, ForgeEDA's scale and diversity facilitate the training of AI models for EDA tasks, demonstrating its potential to improve model performance and generalization. By addressing limitations in existing datasets, ForgeEDA aims to catalyze breakthroughs in modern IC design and support the next generation of innovations in EDA.

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ForgeEDA 电路数据集 EDA AI模型 IC设计
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