An Algebra for Cross-Experiment Performance Analysis. - Fengguang Song; Felix Wolf 001; Nikhil Bhatia; Jack J. Dongarra; Shirley Moore (ICPP, 2004)

Automatic Experimental Analysis of Communication Patterns in Virtual Topologies. - Nikhil Bhatia; Fengguang Song; Felix Wolf 001; Jack J. Dongarra; Bernd Mohr; Shirley Moore (ICPP, 2005)

Performance Instrumentation and Compiler Optimizations for MPI/OpenMP Applications. - Oscar R. Hernandez; Fengguang Song; Barbara M. Chapman; Jack J. Dongarra; Bernd Mohr; Shirley Moore; Felix Wolf 001 (IWOMP, 2006)

Feedback-directed thread scheduling with memory considerations. - Fengguang Song; Shirley Moore; Jack J. Dongarra (HPDC, 2007)

L2 Cache Modeling for Scientific Applications on Chip Multi-Processors. - Fengguang Song; Shirley Moore; Jack J. Dongarra (ICPP, 2007)

Analytical modeling and optimization for affinity based thread scheduling on multicore systems. - Fengguang Song; Shirley Moore; Jack J. Dongarra (CLUSTER, 2009)

A Scalable Non-blocking Multicast Scheme for Distributed DAG Scheduling. - Fengguang Song; Jack J. Dongarra; Shirley Moore (ICCS (1), 2009)

Dynamic task scheduling for linear algebra algorithms on distributed-memory multicore systems. - Fengguang Song; Asim YarKhan; Jack J. Dongarra (SC, 2009)

Scalable Tile Communication-Avoiding QR Factorization on Multicore Cluster Systems. - Fengguang Song; Hatem Ltaief; Bilel Hadri; Jack J. Dongarra (SC, 2010)

Enabling and scaling matrix computations on heterogeneous multi-core and multi-GPU systems. - Fengguang Song; Stanimire Tomov; Jack J. Dongarra (ICS, 2012)

A scalable framework for heterogeneous GPU-based clusters. - Fengguang Song; Jack J. Dongarra (SPAA, 2012)

Implementing a high-performance recommendation system using Phoenix++. - Chongxiao Cao; Fengguang Song; Daniel G. Waddington (ICITST, 2013)

KV-Cache: A Scalable High-Performance Web-Object Cache for Manycore. - Daniel G. Waddington; Juan A. Colmenares; Jilong Kuang; Fengguang Song (UCC, 2013)

Scaling up matrix computations on shared-memory manycore systems with 1000 CPU cores. - Fengguang Song; Jack J. Dongarra (ICS, 2014)

LBM-IB: A Parallel Library to Solve 3D Fluid-Structure Interaction Problems on Manycore Systems. - Prateek Nagar; Fengguang Song; Luoding Zhu; Lan Lin (ICPP, 2015)

Quality Assurance through Rigorous Software Specification and Testing: A Case Study. - Lan Lin; Jia He; Yong Zhang; Fengguang Song (SCSE, 2015)

A scalable approach to solving dense linear algebra problems on hybrid CPU-GPU systems. - Fengguang Song; Jack J. Dongarra (Concurr. Comput. Pract. Exp., 2015)

Modeling and Implementation of an Asynchronous Approach to Integrating HPC and Big Data Analysis. - Yuankun Fu; Fengguang Song; Luoding Zhu (ICCS, 2016)

suCAQR: A Simplified Communication-Avoiding QR Factorization Solver Using the TBLAS Framework. - Weijian Zheng; Fengguang Song; Lan Lin; Zizhong Chen (ICPADS, 2016)

An Algorithm for Forward Reduction in Sequence-Based Software Specification. - Lan Lin; Yufeng Xue; Fengguang Song (Int. J. Softw. Eng. Knowl. Eng., 2016)

OptiMatch: Enabling an Optimal Match between Green Power and Various Workloads for Renewable-Energy Powered Storage Systems. - Xiaoyang Qu; Jiguang Wan 001; Fengguang Song; Xiaozhao Zhuang; Fei Wu 005; Changsheng Xie (ICPP, 2017)

Correcting soft errors online in fast fourier transform. - Xin Liang 001; Jieyang Chen; Dingwen Tao; Sihuan Li; Panruo Wu; Hongbo Li 006; Kaiming Ouyang; Yuanlai Liu; Fengguang Song; Zizhong Chen (SC, 2017)

Designing a Synchronization-reducing Clustering Method on Manycores: Some Issues and Improvements. - Weijian Zheng; Fengguang Song; Lan Lin (MLHPC@SC, 2017)

A Simpler and More Direct Derivation of System Reliability Using Markov Chain Usage Models. - Lan Lin; Yufeng Xue; Fengguang Song (SEKE, 2017)

A Real-Time Machine Learning and Visualization Framework for Scientific Workflows. - Feng Li 025; Fengguang Song (PEARC, 2017)

Performance analysis and optimization of in-situ integration of simulation with data analysis: zipping applications up. - Yuankun Fu; Feng Li 025; Fengguang Song; Zizhong Chen (HPDC, 2018)

Designing a Parallel Memory-Aware Lattice Boltzmann Algorithm on Manycore Systems. - Yuankun Fu; Feng Li 025; Fengguang Song; Luoding Zhu (SBAC-PAD, 2018)

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 (SEKE, 2018)

Scaling Up Parallel Computation of Tiled QR Factorizations by a Distributed Scheduling Runtime System and Analytical Modeling. - Weijian Zheng; Fengguang Song; Lan Lin; Zizhong Chen (Parallel Process. Lett., 2018)

Interactive 3D simulation for fluid-structure interactions using dual coupled GPUs. - Bob Zigon; Luoding Zhu; Fengguang Song (J. Supercomput., 2018)

Userland CO-PAGER: boosting data-intensive applications with non-volatile memory, userspace paging. - Feng Li 025; Daniel G. Waddington; Fengguang Song (HP3C, 2019)

An Extended Roofline Model with Communication-Awareness for Distributed-Memory HPC Systems. - David Cardwell; Fengguang Song (HPC Asia, 2019)

XScan: An Integrated Tool for Understanding Open Source Community-Based Scientific Code. - Weijian Zheng; Dali Wang; Fengguang Song (ICCS (1), 2019)

FQL: An Extensible Feature Query Language and Toolkit on Searching Software Characteristics for HPC Applications. - Weijian Zheng; Dali Wang; Fengguang Song (HUST/SE-HER/WIHPC@SC, 2019)

Building a scientific workflow framework to enable real-time machine learning and visualization. - Feng Li 025; Fengguang Song (Concurr. Comput. Pract. Exp., 2019)

OpenGraphGym: A Parallel Reinforcement Learning Framework for Graph Optimization Problems. - Weijian Zheng; Dali Wang; Fengguang Song (ICCS (5), 2020)

Utilizing GPU Performance Counters to Characterize GPU Kernels via Machine Learning. - Bob Zigon; Fengguang Song (ICCS (1), 2020)

ElasticBroker: Combining HPC with Cloud to Provide Realtime Insights into Simulations. - Feng Li 025; Dali Wang; Feng Yan 001; Fengguang Song (CoRR, 2020)

SDN helps Big Data to optimize access to data. - Yuankun Fu; Fengguang Song (CoRR, 2020)

Accelerating complex modeling workflows in CyberWater using on-demand HPC/Cloud resources. - Feng Li 025; Ranran Chen; Yuankun Fu; Fengguang Song; Yao Liang; Isuru Ranawaka; Sudhakar Pamidighantam; Daniel Luna; Xu Liang (e-Science, 2021)

Designing a 3D Parallel Memory-Aware Lattice Boltzmann Algorithm on Manycore Systems. - Yuankun Fu; Fengguang Song (Euro-Par, 2021)

X-composer: enabling cross-environments in-situ workflows between HPC and cloud. - Feng Li 025; Dali Wang; Feng Yan 001; Fengguang Song (PASC, 2021)

OpenGraphGym-MG: Using Reinforcement Learning to Solve Large Graph Optimization Problems on MultiGPU Systems. - Weijian Zheng; Dali Wang; Fengguang Song (CoRR, 2021)

Designing a parallel Feel-the-Way clustering algorithm on HPC systems. - Weijian Zheng; Dali Wang; Fengguang Song (Int. J. High Perform. Comput. Appl., 2021)

CyberWater: An Open Framework for Data and Model Integration in Water Science and Engineering. - Ranran Chen; Feng Li 025; Drew Bieger; Fengguang Song; Yao Liang; Daniel Luna; Ryan Young; Xu Liang; Sudhakar Pamidighantam (CIKM, 2022)

INSTANT: A Runtime Framework to Orchestrate In-Situ Workflows. - Feng Li 025; Fengguang Song (Euro-Par, 2023)

A Distributed-GPU Deep Reinforcement Learning System for Solving Large Graph Optimization Problems. - Weijian Zheng; Dali Wang; Fengguang Song (ACM Trans. Parallel Comput., 2023)

Efficient in-situ workflow planning for geographically distributed heterogeneous environments. - Feng Li 025; Fengguang Song (Future Gener. Comput. Syst., 2023)

Asynchronous modeling workflows in CyberWater with on-demand HPC/Cloud access. - Ranran Chen; Feng Li 025; Daniel Luna; Isuru Ranawaka; Fengguang Song; Sudhakar Pamidighantam; Xu Liang; Yao Liang (Future Gener. Comput. Syst., 2024)

WIPE: A Write-Optimized Learned Index for Persistent Memory. - Zhonghua Wang 001; Chen Ding; Fengguang Song; Kai Lu 002; Jiguang Wan 001; Zhihu Tan; Changsheng Xie; Guokuan Li (ACM Trans. Archit. Code Optim., 2024)

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 (CoRR, 2025)

Automated Statistical Testing and Certification of a Reliable Model-Coupling Server for Scientific Computing. - Seth Wolfgang; Lan Lin; Fengguang Song (CoRR, 2025)