Xingfu Wu

77 papers A 5B 2C 6Misc 1Journal 39Unranked 23
YearRankTypeTitle / Venue / Authors
2025 J jnl
Coordinated Power Management on Heterogeneous Systems.
CoRR
Zhong Zheng, Zhiling Lan, Xingfu Wu, Valerie E. Taylor, Michael E. Papka
2025 J jnl
Generalizing Scaling Laws for Dense and Sparse Large Language Models.
CoRR
Md Arafat Hossain, Xingfu Wu, Valerie Taylor, Ali Jannesari
2025 J jnl
Industrial multivariate time-series data anomaly detection incorporating attention mechanisms and adversarial training.
Int. J. Comput. Integr. Manuf.
Wenjie Yang, Wenchao Chu, Xingfu Wu, Lianlin Zhou, Jiayi Wang, Hua Yang, Zirui Li
2025 J jnl
Integrating ytopt and libEnsemble to autotune OpenMC.
Int. J. High Perform. Comput. Appl.
Xingfu Wu, John R. Tramm, Jeffrey Larson, John-Luke Navarro, Prasanna Balaprakash, Brice Videau, Michael Kruse, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2025 J jnl
Leveraging LLMs to Automate Energy-Aware Refactoring of Parallel Scientific Codes.
CoRR
Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor
2025 J jnl
SAGIPS: a physics-inspired scalable asynchronous generative inverse-problem solver.
Mach. Learn. Sci. Technol.
Daniel Lersch, Malachi Schram, Zhenyu Dai, Kishansingh Rajput, Nobuo Sato, Xingfu Wu, J. Taylor Childers, Steven Goldenberg
2025 J jnl
ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales.
Concurr. Comput. Pract. Exp.
Xingfu Wu, Prasanna Balaprakash, Michael Kruse, Jaehoon Koo, Brice Videau, Paul D. Hovland, Valerie Taylor, Brad Geltz, Siddhartha Jana, Mary W. Hall
2024 J jnl
An Autotuning-based Optimization Framework for Mixed-kernel SVM Classifications in Smart Pixel Datasets and Heterojunction Transistors.
CoRR
Xingfu Wu, Tupendra Oli, ustin H. Qian, Valerie Taylor, Mark C. Hersam, Vinod K. Sangwan
2024 J jnl
Integrating ytopt and libEnsemble to Autotune OpenMC.
CoRR
Xingfu Wu, John R. Tramm, Jeffrey Larson, John-Luke Navarro, Prasanna Balaprakash, Brice Videau, Michael Kruse, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2024 — conf
LASSI: An LLM-Based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes.
CLUSTER Workshops
Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor
2024 J jnl
LASSI: An LLM-based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes.
CoRR
Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor
2024 J jnl
Modeling Performance of Data Collection Systems for High-Energy Physics.
CoRR
Wilkie Olin-Ammentorp, Xingfu Wu, Andrew A. Chien
2024 J jnl
SAGIPS: A Scalable Asynchronous Generative Inverse Problem Solver.
CoRR
Daniel Lersch, Malachi Schram, Zhenyu Dai, Kishansingh Rajput, Xingfu Wu, N. Sato, J. Taylor Childers
2024 J jnl
Transfer-Learning-Based Autotuning Using Gaussian Copula.
CoRR
Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall, Rong Ge, Prasanna Balaprakash
2023 — conf
Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization.
SC Workshops
Xingfu Wu, Praveen Paramasivam, Valerie Taylor
2023 J jnl
Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization.
CoRR
Xingfu Wu, Praveen Paramasivam, Valerie Taylor
2023 J jnl
Performance and power modeling and prediction using MuMMI and 10 machine learning methods.
Concurr. Comput. Pract. Exp.
Xingfu Wu, Valerie Taylor, Zhiling Lan
2023 A conf
Transfer-learning-based Autotuning using Gaussian Copula.
ICS
Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall, Rong Ge, Prasanna Balaprakash
2023 J jnl
Utilizing ensemble learning for performance and power modeling and improvement of parallel cancer deep learning CANDLE benchmarks.
Concurr. Comput. Pract. Exp.
Xingfu Wu, Valerie Taylor
2023 J jnl
ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales.
CoRR
Xingfu Wu, Prasanna Balaprakash, Michael Kruse, Jaehoon Koo, Brice Videau, Paul D. Hovland, Valerie Taylor, Brad Geltz, Siddhartha Jana, Mary W. Hall
2022 J jnl
Autotuning PolyBench benchmarks with LLVM Clang/Polly loop optimization pragmas using Bayesian optimization.
Concurr. Comput. Pract. Exp.
Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2022 — conf
Performance Debugging and Tuning of Flash-X with Data Analysis Tools.
ProTools@SC
Kevin A. Huck, Xingfu Wu, Anshu Dubey, Antigoni Georgiadou, James Austin Harris, Tom Klosterman, Matthew Trappett, Klaus Weide
2021 C conf
A Dynamic Power Capping Library for HPC Applications.
CLUSTER
Sahil Sharma, Zhiling Lan, Xingfu Wu, Valerie Taylor
2021 J jnl
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization (extended version).
CoRR
Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2021 — conf
Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations.
PMBS
Jaehoon Koo, Prasanna Balaprakash, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall
2021 J jnl
Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations.
CoRR
Jaehoon Koo, Prasanna Balaprakash, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall
2021 — conf
Performance and Energy Improvement of ECP Proxy App SW4lite under Various Workloads.
MCHPC@SC
Xingfu Wu, Valerie Taylor, Zhiling Lan
2020 — conf
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization.
PMBS@SC
Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2020 J jnl
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization.
CoRR
Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall
2020 J jnl
Autotuning Search Space for Loop Transformations.
CoRR
Michael Kruse, Hal Finkel, Xingfu Wu
2020 J jnl
Performance and Power Modeling and Prediction Using MuMMI and Ten Machine Learning Methods.
CoRR
Xingfu Wu, Valerie Taylor, Zhiling Lan
2020 C conf
Toward an End-to-End Auto-tuning Framework in HPC PowerStack.
CLUSTER
Xingfu Wu, Aniruddha Marathe, Siddhartha Jana, Ondrej Vysocky, Jophin John, Andrea Bartolini, Lubomir Riha, Michael Gerndt, Valerie Taylor, Sridutt Bhalachandra
2020 J jnl
Toward an End-to-End Auto-tuning Framework in HPC PowerStack.
CoRR
Xingfu Wu, Aniruddha Marathe, Siddhartha Jana, Ondrej Vysocky, Jophin John, Andrea Bartolini, Lubomir Riha, Michael Gerndt, Valerie Taylor, Sridutt Bhalachandra
2020 J jnl
Utilizing Ensemble Learning for Performance and Power Modeling and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks.
CoRR
Xingfu Wu, Valerie Taylor
2019 B conf
Performance, Energy, and Scalability Analysis and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks.
ICPP
Xingfu Wu, Valerie E. Taylor, Justin M. Wozniak, Rick Stevens, Thomas S. Brettin, Fangfang Xia
2017 B conf
An Energy Efficient Demand-Response Model for High Performance Computing Systems.
MASCOTS
Kishwar Ahmed, Jason Liu, Xingfu Wu
2017 — conf
Performance and Power Characteristics and Optimizations of Hybrid MPI/OpenMP LULESH Miniapps under Various Workloads.
E2SC@SC
Xingfu Wu, Valerie E. Taylor, Jeanine E. Cook, Tanner Juedeman
2016 J jnl
Using Performance-Power Modeling to Improve Energy Efficiency of HPC Applications.
Computer
Xingfu Wu, Valerie E. Taylor, Jeanine E. Cook, Philip J. Mucci
2016 — conf
Utilizing Hardware Performance Counters to Model and Optimize the Energy and Performance of Large Scale Scientific Applications on Power-Aware Supercomputers.
IPDPS Workshops
Xingfu Wu, Valerie E. Taylor
2015 — conf
Power and performance characteristics of CORAL Scalable Science Benchmarks on BlueGene/Q Mira.
IGSC
Xingfu Wu, Valerie E. Taylor
2014 J jnl
E-AMOM: an energy-aware modeling and optimization methodology for scientific applications.
Comput. Sci. Res. Dev.
Charles W. Lively, Valerie E. Taylor, Xingfu Wu, Hung-Ching Chang, Chun-Yi Su, Kirk W. Cameron, Shirley Moore, Daniel Terpstra
2014 — conf
Parallel Optical Flow Processing of 4D Cardiac CT Data on Multicore Clusters.
CSE
Xingfu Wu, Guangtai Ding, Valerie E. Taylor
2014 — conf
SKOPE: a framework for modeling and exploring workload behavior.
Conf. Computing Frontiers
Jiayuan Meng, Xingfu Wu, Vitali A. Morozov, Venkatram Vishwanath, Kalyan Kumaran, Valerie E. Taylor
2013 — conf
MuMMI: Multiple Metrics Modeling Infrastructure.
Parallel Tools Workshop
Xingfu Wu, Valerie E. Taylor, Charles W. Lively, Hung-Ching Chang, Bo Li, Kirk W. Cameron, Daniel Terpstra, Shirley Moore
2013 C conf
MuMMI: Multiple Metrics Modeling Infrastructure.
SNPD
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 — conf
MuMMI: multiple metrics modeling infrastructure for exploring performance and power modeling.
XSEDE
Xingfu Wu, Hung-Ching Chang, Shirley Moore, Valerie E. Taylor, Chun-Yi Su, Daniel Terpstra, Charles W. Lively, Kirk W. Cameron, Chee Wai Lee
2013 C conf
Performance Characteristics of Hybrid MPI/OpenMP Scientific Applications on a Large-Scale Multithreaded BlueGene/Q Supercomputer.
SNPD
Xingfu Wu, Valerie E. Taylor
2013 J jnl
Performance Characteristics of Hybrid MPI/OpenMP Scientific Applications on a Largescale Multithreaded BlueGene/Q Supercomputer.
Int. J. Networked Distributed Comput.
Xingfu Wu, Valerie E. Taylor
2013 J jnl
Performance modeling of hybrid MPI/OpenMP scientific applications on large-scale multicore supercomputers.
J. Comput. Syst. Sci.
Xingfu Wu, Valerie E. Taylor
2012 J jnl
Performance Characteristics of Hybrid MPI/OpenMP Implementations of NAS Parallel Benchmarks SP and BT on Large-Scale Multicore Clusters.
Comput. J.
Xingfu Wu, Valerie E. Taylor
2012 J jnl
Power-aware predictive models of hybrid (MPI/OpenMP) scientific applications on multicore systems.
Comput. Sci. Res. Dev.
Charles W. Lively, Xingfu Wu, Valerie E. Taylor, Shirley Moore, Hung-Ching Chang, Chun-Yi Su, Kirk W. Cameron
2012 — conf
SWAPP: A Framework for Performance Projections of HPC Applications Using Benchmarks.
IPDPS Workshops
Sameh Sharkawi, Don DeSota, Raj Panda, Stephen Stevens, Valerie E. Taylor, Xingfu Wu
2011 J jnl
Energy and performance characteristics of different parallel implementations of scientific applications on multicore systems.
Int. J. High Perform. Comput. Appl.
Charles W. Lively, Xingfu Wu, Valerie E. Taylor, Shirley Moore, Hung-Ching Chang, Kirk W. Cameron
2011 — conf
Performance Modeling of Hybrid MPI/OpenMP Scientific Applications on Large-scale Multicore Cluster Systems.
CSE
Xingfu Wu, Valerie E. Taylor
2011 J jnl
Performance characteristics of hybrid MPI/OpenMP implementations of NAS parallel benchmarks SP and BT on large-scale multicore supercomputers.
SIGMETRICS Perform. Evaluation Rev.
Xingfu Wu, Valerie E. Taylor
2009 — conf
An OpenMP Approach to Modeling Dynamic Earthquake Rupture Along Geometrically Complex Faults on CMP Systems.
ICPP Workshops
Xingfu Wu, Benchun Duan, Valerie E. Taylor
2009 J jnl
Performance Analysis and Optimization of Parallel Scientific Applications on CMP Clusters.
Scalable Comput. Pract. Exp.
Xingfu Wu, Valerie E. Taylor, Charles W. Lively, Sameh Sharkawi
2009 A conf
Performance projection of HPC applications using SPEC CFP2006 benchmarks.
IPDPS
Sameh Sharkawi, Don DeSota, Raj Panda, Rajeev Indukuru, Stephen Stevens, Valerie E. Taylor, Xingfu Wu
2008 — conf
Performance Analysis and Optimization of Parallel Scientific Applications on CMP Cluster Systems.
ICPP Workshops
Xingfu Wu, Valerie E. Taylor, Charles W. Lively, Sameh Sharkawi
2008 C conf
Performance Analysis of Parallel Visualization Applications and Scientific Applications on an Optical Grid.
CW
Xingfu Wu, Valerie E. Taylor
2006 — ch.
Approaches to Architecture-Aware Parallel Scientific Computation.
Parallel Processing for Scientific Computing
James D. Teresco, Joseph E. Flaherty, Scott B. Baden, Jamal Faik, Sébastien Lacour, Manish Parashar, Valerie E. Taylor, Carlos A. Varela, Xingfu Wu, Rick Stevens, Nicholas T. Karonis, Ian T. Foster, Luis G. Gervasio, Travis Desell, Kaoutar El Maghraoui
2006 C conf
Performance Analysis, Modeling and Prediction of a Parallel Multiblock Lattice Boltzmann Application Using Prophesy System.
CLUSTER
Xingfu Wu, Valerie E. Taylor, Shane Garrick, Dazhi Yu, Jacques Richard
2005 — conf
Performance Prediction-based versus Load-based Site Selection: Quantifying the Difference.
PDCS
Seung-Hye Jang, Valerie E. Taylor, Xingfu Wu, Mieke Prajugo, Ewa Deelman, Gaurang Mehta, Karan Vahi
2004 J jnl
Guest Editors' Introduction.
IEEE Distributed Syst. Online
Laurence Tianruo Yang, Marcin Paprzycki, Xiaohui Shen, Xingfu Wu
2004 A conf
Isocoupling: Reusing Kernel Coupling Values to Predict the Performance of Parallel Applications.
IPDPS
Xingfu Wu, Jonathan Geisler, Rick Stevens
2003 J jnl
Prophesy: an infrastructure for performance analysis and modeling of parallel and grid applications.
SIGMETRICS Perform. Evaluation Rev.
Valerie E. Taylor, Xingfu Wu, Rick L. Stevens
2003 — conf
Using Kernel Coupling to Improve the Performance of Multithreaded Applications.
PDCS
Jonathan Geisler, Valerie E. Taylor, Xingfu Wu, Rick L. Stevens
2002 J jnl
Design and Development of a Scalable Distributed Debugger for Cluster Computing.
Clust. Comput.
Xingfu Wu, Qingping Chen, Xian-He Sun
2002 A conf
Using Kernel Couplings to Predict Parallel Application Performance.
HPDC
Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Rick L. Stevens
2001 — conf
Design and Development of the Prophesy Performance Database for Distributed Scientific Applications.
PP
Xingfu Wu, Valerie E. Taylor, Jonathan Geisler, Xin Li, Zhiling Lan, Rick L. Stevens, Mark Hereld, Ivan R. Judson
2001 — conf
Prophesy: Automating the Modeling Process.
Active Middleware Services
Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Xin Li, Zhiling Lan, Mark Hereld, Ivan R. Judson, Rick L. Stevens
2000 — conf
PDRS: A Performance Data Representation System.
IPDPS Workshops
Xian-He Sun, Xingfu Wu
2000 A conf
Prophesy: An Infrastructure for Analyzing and Modeling the Performance of Parallel and Distributed Applications.
HPDC
Xingfu Wu, Valerie E. Taylor, Jonathan Geisler, Xin Li, Zhiling Lan, Rick L. Stevens, Mark Hereld, Ivan R. Judson
1999 J jnl
A Java-based Distributed Debbuger Supporting MPI and PVM.
Parallel Distributed Comput. Pract.
Xingfu Wu, Xian-He Sun
1998 J jnl
Performance models for scalable cluster computing.
J. Syst. Archit.
Xingfu Wu, Wei Li
1997 Misc conf
An Approach to Scalability of Parallel Matrix Multiplication Algorithms.
COCOON
Xingfu Wu
1996 — conf
Scalability of Parallel Algorithm Implementation.
ISPAN
Xingfu Wu, Wei Li