OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis

21 October 2021

Papers citing "OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis"

8 / 8 papers shown

Title
ReasoningV: Efficient Verilog Code Generation with Adaptive Hybrid Reasoning Model Haiyan Qin Zhiwei Xie Jingjing Li Liangchen Li Xiaotong Feng Jing Liu Wang Kang OffRL LRM 342 1 0 20 Apr 2025
The Graph's Apprentice: Teaching an LLM Low Level Knowledge for Circuit Quality Estimation Reza Moravej Saurabh Bodhe Zhanguang Zhang Didier Chetelat Dimitrios Tsaras Yingxue Zhang Hui-Ling Zhen Jianye Hao Mingxuan Yuan 79 1 0 17 Feb 2025
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale Ziyang Zheng Shan Huang Jianyuan Zhong Zhengyuan Shi Guohao Dai Ningyi Xu Qiang Xu GNN 118 4 0 02 Feb 2025
Logic Synthesis Optimization with Predictive Self-Supervision via Causal Transformers Raika Karimi Faezeh Faez Yingxue Zhang Xing Li Lei Chen Mingxuan Yuan Mahdi Biparva 100 0 0 16 Sep 2024
Machine Learning for Electronic Design Automation: A Survey Guyue Huang Jingbo Hu Yifan He Jialong Liu Mingyuan Ma ... Yuzhe Ma Haoyu Yang Bei Yu Huazhong Yang Yu Wang 35 228 0 10 Jan 2021
DRiLLS: Deep Reinforcement Learning for Logic Synthesis Abdelrahman I. Hosny S. Hashemi M. Shalan Sherief Reda 69 109 0 11 Nov 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 572 7,080 0 20 Apr 2018
Developing Synthesis Flows Without Human Knowledge Cunxi Yu Houping Xiao G. Micheli 27 88 0 16 Apr 2018