OpenABC-D
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资源简介：
OpenABC-D是一个大规模的标记数据集，由使用领先的开放源逻辑综合工具合成开源设计产生。该数据集包含870,000个And-Inverter-Graphs（AIGs），来自1500次综合运行，以及如优化节点计数和延迟等标签，用于开发、评估和基准测试ML引导的逻辑综合。
OpenABC-D is a large-scale labeled dataset generated from open-source designs synthesized using state-of-the-art open-source logic synthesis tools. This dataset contains 870,000 And-Inverter-Graphs (AIGs) derived from 1,500 synthesis runs, along with labels such as optimized node count and latency, for developing, evaluating, and benchmarking ML-guided logic synthesis.
创建时间：
2021-10-22
