| 2026 | ICS | SmartCap: Coordinated CPU-GPU Power Capping for Performance-Assurance Energy Efficiency. | Zhong Zheng, Xingfu Wu, Valerie E. Taylor, Michael E. Papka, Zhiling Lan |
| 2025 | CCGRID | Evaluating Energy Efficiency of Ai Accelerators Using Two Mlperf Benchmarks. | Farah Ferdaus, Xingfu Wu, Valerie Taylor, Zhiling Lan, Sanjif Shanmugavelu, Venkatram Vishwanath, Michael E. Papka |
| 2024 | CLUSTER | LASSI: An LLM-Based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes. | Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor |
| 2023 | ICS | Transfer-learning-based Autotuning using Gaussian Copula. | Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall, Rong Ge, Prasanna Balaprakash |
| 2023 | SC | Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization. | Xingfu Wu, Praveen Paramasivam, Valerie Taylor |
| 2021 | CLUSTER | A Dynamic Power Capping Library for HPC Applications. | Sahil Sharma, Zhiling Lan, Xingfu Wu, Valerie Taylor |
| 2020 | CLUSTER | Toward an End-to-End Auto-tuning Framework in HPC PowerStack. | Xingfu Wu, Aniruddha Marathe, Siddhartha Jana, Ondrej Vysocky, Jophin John, Andrea Bartolini, Lubomir Riha, Michael Gerndt, Valerie Taylor, Sridutt Bhalachandra |
| 2019 | ICPP | Performance, Energy, and Scalability Analysis and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks. | Xingfu Wu, Valerie E. Taylor, Justin M. Wozniak, Rick Stevens, Thomas S. Brettin, Fangfang Xia |
| 2017 | MASCOTS | An Energy Efficient Demand-Response Model for High Performance Computing Systems. | Kishwar Ahmed, Jason Liu, Xingfu Wu |
| 2017 | SC | Performance and Power Characteristics and Optimizations of Hybrid MPI/OpenMP LULESH Miniapps under Various Workloads. | Xingfu Wu, Valerie E. Taylor, Jeanine E. Cook, Tanner Juedeman |
| 2013 | SNPD | MuMMI: Multiple Metrics Modeling Infrastructure. | Xingfu Wu, Charles W. Lively, Valerie E. Taylor, Hung-Ching Chang, Chun-Yi Su, Kirk W. Cameron, Shirley Moore, Daniel Terpstra, Vincent M. Weaver |
| 2013 | SNPD | Performance Characteristics of Hybrid MPI/OpenMP Scientific Applications on a Large-Scale Multithreaded BlueGene/Q Supercomputer. | Xingfu Wu, Valerie E. Taylor |
| 2008 | CW | Performance Analysis of Parallel Visualization Applications and Scientific Applications on an Optical Grid. | Xingfu Wu, Valerie E. Taylor |
| 2006 | CLUSTER | Performance Analysis, Modeling and Prediction of a Parallel Multiblock Lattice Boltzmann Application Using Prophesy System. | Xingfu Wu, Valerie E. Taylor, Shane Garrick, Dazhi Yu, Jacques Richard |
| 2002 | HPDC | Using Kernel Couplings to Predict Parallel Application Performance. | Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Rick L. Stevens |
| 2000 | HPDC | Prophesy: An Infrastructure for Analyzing and Modeling the Performance of Parallel and Distributed Applications. | Xingfu Wu, Valerie E. Taylor, Jonathan Geisler, Xin Li, Zhiling Lan, Rick L. Stevens, Mark Hereld, Ivan R. Judson |
| 1997 | COCOON | An Approach to Scalability of Parallel Matrix Multiplication Algorithms. | Xingfu Wu |