Nan Wu

25 papers A* 3C 2Journal 16Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Stardust: Scalable and Transferable Workload Mapping for Large AI on Multi-Chiplet Systems.
IEEE Comput. Archit. Lett.
Wencheng Zou, Feiyun Zhao, Nan Wu
2024 J jnl
A Benchmark on Directed Graph Representation Learning in Hardware Designs.
CoRR
Haoyu Wang, Yinan Huang, Nan Wu, Pan Li
2024 J jnl
Survey of Machine Learning for Software-assisted Hardware Design Verification: Past, Present, and Prospect.
ACM Trans. Design Autom. Electr. Syst.
Nan Wu, Yingjie Li, Hang Yang, Hanqiu Chen, Steve Dai, Cong Hao, Cunxi Yu, Yuan Xie
2023 J jnl
A Survey of Machine Learning for Computer Architecture and Systems.
ACM Comput. Surv.
Nan Wu, Yuan Xie
2023 A* conf
Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks.
DAC
Nan Wu, Yingjie Li, Cong Hao, Steve Dai, Cunxi Yu, Yuan Xie
2023 J jnl
Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks.
CoRR
Nan Wu, Yingjie Li, Cong Hao, Steve Dai, Cunxi Yu, Yuan Xie
2023 J jnl
IronMan-Pro: Multiobjective Design Space Exploration in HLS via Reinforcement Learning and Graph Neural Network-Based Modeling.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Nan Wu, Yuan Xie, Cong Hao
2023 — conf
PreAxC: Error Distribution Prediction for Approximate Computing Quality Control using Graph Neural Networks.
ISQED
Lakshmi Sathidevi, Abhinav Sharma, Nan Wu, Xun Jiao, Cong Hao
2022 C conf
AI-assisted Synthesis in Next Generation EDA: Promises, Challenges, and Prospects.
ICCD
Nan Wu, Yuan Xie, Cong Hao
2022 J jnl
High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing.
CoRR
Nan Wu, Hang Yang, Yuan Xie, Pan Li, Cong Hao
2022 A* conf
High-level synthesis performance prediction using GNNs: benchmarking, modeling, and advancing.
DAC
Nan Wu, Hang Yang, Yuan Xie, Pan Li, Cong Hao
2022 J jnl
Hybrid Graph Models for Logic Optimization via Spatio-Temporal Information.
CoRR
Nan Wu, Jiwon Lee, Yuan Xie, Cong Hao
2022 — conf
LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models.
ASAP
Nan Wu, Jiwon Lee, Yuan Xie, Cong Hao
2022 A* conf
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation.
NeurIPS
Haoyu Wang, Nan Wu, Hang Yang, Cong Hao, Pan Li
2022 J jnl
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation.
CoRR
Haoyu Wang, Nan Wu, Hang Yang, Cong Hao, Pan Li
2021 J jnl
A Survey of Machine Learning for Computer Architecture and Systems.
CoRR
Nan Wu, Yuan Xie
2021 J jnl
Core Placement Optimization for Multi-chip Many-core Neural Network Systems with Reinforcement Learning.
ACM Trans. Design Autom. Electr. Syst.
Nan Wu, Lei Deng, Guoqi Li, Yuan Xie
2021 — conf
IRONMAN: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning.
ACM Great Lakes Symposium on VLSI
Nan Wu, Yuan Xie, Cong Hao
2021 J jnl
IronMan: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning.
CoRR
Nan Wu, Yuan Xie, Cong Hao
2021 J jnl
Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation.
CoRR
Nan Wu, Huake He, Yuan Xie, Pan Li, Cong Hao
2020 J jnl
Memristor Hardware-Friendly Reinforcement Learning.
CoRR
Nan Wu, Adrien F. Vincent, Dmitri B. Strukov, Yuan Xie
2020 J jnl
Phoebe: Reuse-Aware Online Caching with Reinforcement Learning for Emerging Storage Models.
CoRR
Nan Wu, Pengcheng Li
2019 C conf
Preliminary Results Towards Reinforcement Learning with Mixed-Signal Memristive Neuromorphic Circuits.
ISCAS
Nan Wu, Adrien F. Vincent, Dmitri B. Strukov
2016 — conf
A Real-Time and Energy-Efficient Implementation of Difference-of-Gaussian with Flexible Thin-Film Transistors.
ISVLSI
Nan Wu, Zheyu Liu, Fei Qiao, Qi Wei, Xiaojun Guo, Yuan Xie, Huazhong Yang
2016 J jnl
A Real-Time and Energy-Efficient Implementation of Difference-of-Gaussian with Flexible Thin-Film Transistors.
CoRR
Nan Wu, Zheyu Liu, Fei Qiao, Xiaojun Guo, Qi Wei, Yuan Xie, Huazhong Yang