| 2026 | ICS | GPZ: GPU-Accelerated Lossy Compressor for Particle Data. | Ruoyu Li, Yafan Huang, Longtao Zhang, Zhuoxun Yang, Sheng Di, Boyuan Zhang, Jiajun Huang, Jinyang Liu, Jiannan Tian, Guanpeng Li, Fengguang Song, Hanqi Guo, Franck Cappello, Kai Zhao |
| 2025 | ICML | Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws. | Xiyuan Wei, Ming Lin, Fanjiang Ye, Fengguang Song, Liangliang Cao, My T. Thai, Tianbao Yang |
| 2025 | ICS | BMQSim: Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework. | Boyuan Zhang, Bo Fang, Fanjiang Ye, Luanzheng Guo, Fengguang Song, Nathan R. Tallent, Dingwen Tao |
| 2025 | ICS | Pushing the Limits of GPU Lossy Compression: A Hierarchical Delta Approach. | Boyuan Zhang, Yafan Huang, Sheng Di, Fengguang Song, Guanpeng Li, Franck Cappello |
| 2025 | SC | FZModules: A Heterogeneous Computing Framework for Customizable Scientific Data Compression Pipelines. | Skyler Ruiter, Jiannan Tian, Fengguang Song |
| 2025 | SC | STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data. | Daoce Wang, Pascal Grosset, Jesus Pulido, Jiannan Tian, Tushar M. Athawale, Jinda Jia, Baixi Sun, Boyuan Zhang, Sian Jin, Kai Zhao, James P. Ahrens, Fengguang Song |
| 2025 | SEKE | Automated Statistical Testing and Certification of a Reliable Model-Coupling Server for Scientific Computing. | Seth Wolfgang, Lan Lin, Fengguang Song |
| 2023 | EuroPar | INSTANT: A Runtime Framework to Orchestrate In-Situ Workflows. | Feng Li, Fengguang Song |
| 2022 | CIKM | CyberWater: An Open Framework for Data and Model Integration in Water Science and Engineering. | Ranran Chen, Feng Li, Drew Bieger, Fengguang Song, Yao Liang, Daniel Luna, Ryan Young, Xu Liang, Sudhakar Pamidighantam |
| 2021 | EuroPar | Designing a 3D Parallel Memory-Aware Lattice Boltzmann Algorithm on Manycore Systems. | Yuankun Fu, Fengguang Song |
| 2020 | ICCS | OpenGraphGym: A Parallel Reinforcement Learning Framework for Graph Optimization Problems. | Weijian Zheng, Dali Wang, Fengguang Song |
| 2020 | ICCS | Utilizing GPU Performance Counters to Characterize GPU Kernels via Machine Learning. | Bob Zigon, Fengguang Song |
| 2019 | ICCS | XScan: An Integrated Tool for Understanding Open Source Community-Based Scientific Code. | Weijian Zheng, Dali Wang, Fengguang Song |
| 2019 | SC | FQL: An Extensible Feature Query Language and Toolkit on Searching Software Characteristics for HPC Applications. | Weijian Zheng, Dali Wang, Fengguang Song |
| 2018 | HPDC | Performance analysis and optimization of in-situ integration of simulation with data analysis: zipping applications up. | Yuankun Fu, Feng Li, Fengguang Song, Zizhong Chen |
| 2018 | SEKE | On A Simpler and Faster Derivation of Single Use Reliability Mean and Variance for Model-Based Statistical Testing (S). | Yufeng Xue, Lan Lin, Xin Sun, Fengguang Song |
| 2018 | SBAC-PAD | Designing a Parallel Memory-Aware Lattice Boltzmann Algorithm on Manycore Systems. | Yuankun Fu, Feng Li, Fengguang Song, Luoding Zhu |
| 2017 | ICPP | OptiMatch: Enabling an Optimal Match between Green Power and Various Workloads for Renewable-Energy Powered Storage Systems. | Xiaoyang Qu, Jiguang Wan, Fengguang Song, Xiaozhao Zhuang, Fei Wu, Changsheng Xie |
| 2017 | SC | Correcting soft errors online in fast fourier transform. | Xin Liang, Jieyang Chen, Dingwen Tao, Sihuan Li, Panruo Wu, Hongbo Li, Kaiming Ouyang, Yuanlai Liu, Fengguang Song, Zizhong Chen |
| 2017 | SC | Designing a Synchronization-reducing Clustering Method on Manycores: Some Issues and Improvements. | Weijian Zheng, Fengguang Song, Lan Lin |
| 2017 | SEKE | A Simpler and More Direct Derivation of System Reliability Using Markov Chain Usage Models. | Lan Lin, Yufeng Xue, Fengguang Song |
| 2016 | ICCS | Modeling and Implementation of an Asynchronous Approach to Integrating HPC and Big Data Analysis. | Yuankun Fu, Fengguang Song, Luoding Zhu |
| 2016 | ICPADS | suCAQR: A Simplified Communication-Avoiding QR Factorization Solver Using the TBLAS Framework. | Weijian Zheng, Fengguang Song, Lan Lin, Zizhong Chen |
| 2015 | ICPP | LBM-IB: A Parallel Library to Solve 3D Fluid-Structure Interaction Problems on Manycore Systems. | Prateek Nagar, Fengguang Song, Luoding Zhu, Lan Lin |
| 2014 | ICS | Scaling up matrix computations on shared-memory manycore systems with 1000 CPU cores. | Fengguang Song, Jack J. Dongarra |
| 2013 | UCC | KV-Cache: A Scalable High-Performance Web-Object Cache for Manycore. | Daniel G. Waddington, Juan A. Colmenares, Jilong Kuang, Fengguang Song |
| 2012 | ICS | Enabling and scaling matrix computations on heterogeneous multi-core and multi-GPU systems. | Fengguang Song, Stanimire Tomov, Jack J. Dongarra |
| 2012 | SPAA | A scalable framework for heterogeneous GPU-based clusters. | Fengguang Song, Jack J. Dongarra |
| 2010 | SC | Scalable Tile Communication-Avoiding QR Factorization on Multicore Cluster Systems. | Fengguang Song, Hatem Ltaief, Bilel Hadri, Jack J. Dongarra |
| 2009 | CLUSTER | Analytical modeling and optimization for affinity based thread scheduling on multicore systems. | Fengguang Song, Shirley Moore, Jack J. Dongarra |
| 2009 | ICCS | A Scalable Non-blocking Multicast Scheme for Distributed DAG Scheduling. | Fengguang Song, Jack J. Dongarra, Shirley Moore |
| 2009 | SC | Dynamic task scheduling for linear algebra algorithms on distributed-memory multicore systems. | Fengguang Song, Asim YarKhan, Jack J. Dongarra |
| 2007 | HPDC | Feedback-directed thread scheduling with memory considerations. | Fengguang Song, Shirley Moore, Jack J. Dongarra |
| 2007 | ICPP | L2 Cache Modeling for Scientific Applications on Chip Multi-Processors. | Fengguang Song, Shirley Moore, Jack J. Dongarra |
| 2005 | ICPP | Automatic Experimental Analysis of Communication Patterns in Virtual Topologies. | Nikhil Bhatia, Fengguang Song, Felix Wolf, Jack J. Dongarra, Bernd Mohr, Shirley Moore |
| 2004 | ICPP | An Algebra for Cross-Experiment Performance Analysis. | Fengguang Song, Felix Wolf, Nikhil Bhatia, Jack J. Dongarra, Shirley Moore |