Nan Wu

According to our database, Nan Wu authored at least 19 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Stardust: Scalable and Transferable Workload Mapping for Large AI on Multi-Chiplet Systems.

Wencheng Zou, Feiyun Zhao, Nan Wu

IEEE Comput. Archit. Lett., 2025

2024

Survey of Machine Learning for Software-assisted Hardware Design Verification: Past, Present, and Prospect.

Nan Wu, Yingjie Li, Hang Yang, Hanqiu Chen, Steve Dai, Cong Hao, Cunxi Yu, Yuan Xie

ACM Trans. Design Autom. Electr. Syst., 2024

A Benchmark on Directed Graph Representation Learning in Hardware Designs.

Haoyu Wang, Yinan Huang, Nan Wu, Pan Li

CoRR, 2024

2023

IronMan-Pro: Multiobjective Design Space Exploration in HLS via Reinforcement Learning and Graph Neural Network-Based Modeling.

Nan Wu, Yuan Xie, Cong Hao

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2023

A Survey of Machine Learning for Computer Architecture and Systems.

Nan Wu, Yuan Xie

ACM Comput. Surv., 2023

PreAxC: Error Distribution Prediction for Approximate Computing Quality Control using Graph Neural Networks.

Lakshmi Sathidevi, Abhinav Sharma, Nan Wu, Xun Jiao, Cong Hao

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Gamora: Graph Learning based Symbolic Reasoning for Large-Scale Boolean Networks.

Nan Wu, Yingjie Li, Cong Hao, Steve Dai, Cunxi Yu, Yuan Xie

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Hybrid Graph Models for Logic Optimization via Spatio-Temporal Information.

Nan Wu, Jiwon Lee, Yuan Xie, Cong Hao

CoRR, 2022

Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation.

Haoyu Wang, Nan Wu, Hang Yang, Cong Hao, Pan Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AI-assisted Synthesis in Next Generation EDA: Promises, Challenges, and Prospects.

Nan Wu, Yuan Xie, Cong Hao

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

High-level synthesis performance prediction using GNNs: benchmarking, modeling, and advancing.

Nan Wu, Hang Yang, Yuan Xie, Pan Li, Cong Hao

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

LOSTIN: Logic Optimization via Spatio-Temporal Information with Hybrid Graph Models.

Nan Wu, Jiwon Lee, Yuan Xie, Cong Hao

Proceedings of the 33rd IEEE International Conference on Application-specific Systems, 2022

2021

Core Placement Optimization for Multi-chip Many-core Neural Network Systems with Reinforcement Learning.

Nan Wu, Lei Deng, Guoqi Li, Yuan Xie

ACM Trans. Design Autom. Electr. Syst., 2021

Program-to-Circuit: Exploiting GNNs for Program Representation and Circuit Translation.

Nan Wu, Huake He, Yuan Xie, Pan Li, Cong Hao

CoRR, 2021

IRONMAN: GNN-assisted Design Space Exploration in High-Level Synthesis via Reinforcement Learning.

Nan Wu, Yuan Xie, Cong Hao

Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021

2020

Phoebe: Reuse-Aware Online Caching with Reinforcement Learning for Emerging Storage Models.

Nan Wu, Pengcheng Li

CoRR, 2020

Memristor Hardware-Friendly Reinforcement Learning.

Nan Wu, Adrien F. Vincent, Dmitri B. Strukov, Yuan Xie

CoRR, 2020

2019

Preliminary Results Towards Reinforcement Learning with Mixed-Signal Memristive Neuromorphic Circuits.

Nan Wu, Adrien F. Vincent, Dmitri B. Strukov

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2016

A Real-Time and Energy-Efficient Implementation of Difference-of-Gaussian with Flexible Thin-Film Transistors.

Nan Wu, Zheyu Liu, Fei Qiao, Qi Wei, Xiaojun Guo, Yuan Xie, Huazhong Yang

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2016