Xingfu Wu

According to our database, Xingfu Wu authored at least 58 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Integrating ytopt and libEnsemble to Autotune OpenMC.

Xingfu Wu, John R. Tramm, Jeffrey Larson, John-Luke Navarro, Prasanna Balaprakash, Brice Videau, Michael Kruse, Paul D. Hovland, Valerie E. Taylor, Mary W. Hall

CoRR, 2024

2023

ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales.

Xingfu Wu, Prasanna Balaprakash, Michael Kruse, Jaehoon Koo, Brice Videau, Paul D. Hovland, Valerie E. Taylor, Brad Geltz, Siddhartha Jana, Mary W. Hall

CoRR, 2023

Performance and power modeling and prediction using MuMMI and 10 machine learning methods.

Xingfu Wu, Valerie E. Taylor, Zhiling Lan

Concurr. Comput. Pract. Exp., 2023

Utilizing ensemble learning for performance and power modeling and improvement of parallel cancer deep learning CANDLE benchmarks.

Xingfu Wu, Valerie E. Taylor

Concurr. Comput. Pract. Exp., 2023

Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization.

Xingfu Wu, Praveen Paramasivam, Valerie E. Taylor

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

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

Proceedings of the 37th International Conference on Supercomputing, 2023

2022

Autotuning PolyBench benchmarks with LLVM Clang/Polly loop optimization pragmas using Bayesian optimization.

Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall

Concurr. Comput. Pract. Exp., 2022

Performance Debugging and Tuning of Flash-X with Data Analysis Tools.

Kevin A. Huck, Xingfu Wu, Anshu Dubey, Antigoni Georgiadou, James Austin Harris, Tom Klosterman, Matthew Trappett, Klaus Weide

Proceedings of the IEEE/ACM Workshop on Programming and Performance Visualization Tools, 2022

2021

Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization (extended version).

Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie E. Taylor, Mary W. Hall

CoRR, 2021

Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations.

Jaehoon Koo, Prasanna Balaprakash, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall

Proceedings of the 2021 International Workshop on Performance Modeling, 2021

Performance and Energy Improvement of ECP Proxy App SW4lite under Various Workloads.

Xingfu Wu, Valerie E. Taylor, Zhiling Lan

Proceedings of the IEEE/ACM Workshop on Memory Centric High Performance Computing, 2021

A Dynamic Power Capping Library for HPC Applications.

Sahil Sharma, Zhiling Lan, Xingfu Wu, Valerie Taylor

Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020

Performance and Power Modeling and Prediction Using MuMMI and Ten Machine Learning Methods.

Xingfu Wu, Valerie E. Taylor, Zhiling Lan

CoRR, 2020

Autotuning Search Space for Loop Transformations.

Michael Kruse, Hal Finkel, Xingfu Wu

CoRR, 2020

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 E. Taylor, Sridutt Bhalachandra

Proceedings of the IEEE International Conference on Cluster Computing, 2020

2019

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

Proceedings of the 48th International Conference on Parallel Processing, 2019

2017

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

Proceedings of the 5th International Workshop on Energy Efficient Supercomputing, 2017

An Energy Efficient Demand-Response Model for High Performance Computing Systems.

Kishwar Ahmed, Jason Liu, Xingfu Wu

Proceedings of the 25th IEEE International Symposium on Modeling, 2017

2016

Using Performance-Power Modeling to Improve Energy Efficiency of HPC Applications.

Xingfu Wu, Valerie E. Taylor, Jeanine E. Cook, Philip J. Mucci

Computer, 2016

Utilizing Hardware Performance Counters to Model and Optimize the Energy and Performance of Large Scale Scientific Applications on Power-Aware Supercomputers.

Xingfu Wu, Valerie E. Taylor

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015

Power and performance characteristics of CORAL Scalable Science Benchmarks on BlueGene/Q Mira.

Xingfu Wu, Valerie E. Taylor

Proceedings of the Sixth International Green and Sustainable Computing Conference, 2015

2014

E-AMOM: an energy-aware modeling and optimization methodology for scientific applications.

Charles W. Lively, Valerie E. Taylor, Xingfu Wu, Hung-Ching Chang, Chun-Yi Su, Kirk W. Cameron, Shirley Moore, Daniel Terpstra

Comput. Sci. Res. Dev., 2014

Parallel Optical Flow Processing of 4D Cardiac CT Data on Multicore Clusters.

Xingfu Wu, Guangtai Ding, Valerie E. Taylor

Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

SKOPE: a framework for modeling and exploring workload behavior.

Jiayuan Meng, Xingfu Wu, Vitali A. Morozov, Venkatram Vishwanath, Kalyan Kumaran, Valerie E. Taylor

Proceedings of the Computing Frontiers Conference, CF'14, 2014

2013

Performance modeling of hybrid MPI/OpenMP scientific applications on large-scale multicore supercomputers.

Xingfu Wu, Valerie E. Taylor

J. Comput. Syst. Sci., 2013

Performance Characteristics of Hybrid MPI/OpenMP Scientific Applications on a Largescale Multithreaded BlueGene/Q Supercomputer.

Xingfu Wu, Valerie E. Taylor

Int. J. Networked Distributed Comput., 2013

MuMMI: multiple metrics modeling infrastructure for exploring performance and power modeling.

Xingfu Wu, Hung-Ching Chang, Shirley Moore, Valerie E. Taylor, Chun-Yi Su, Daniel Terpstra, Charles W. Lively, Kirk W. Cameron, Chee Wai Lee

Proceedings of the Extreme Science and Engineering Discovery Environment: Gateway to Discovery, 2013

Performance Characteristics of Hybrid MPI/OpenMP Scientific Applications on a Large-Scale Multithreaded BlueGene/Q Supercomputer.

Xingfu Wu, Valerie E. Taylor

Proceedings of the 14th ACIS International Conference on Software Engineering, 2013

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

Proceedings of the 14th ACIS International Conference on Software Engineering, 2013

MuMMI: Multiple Metrics Modeling Infrastructure.

Xingfu Wu, Valerie E. Taylor, Charles W. Lively, Hung-Ching Chang, Bo Li, Kirk W. Cameron, Daniel Terpstra, Shirley Moore

Proceedings of the Tools for High Performance Computing 2013, 2013

2012

Power-aware predictive models of hybrid (MPI/OpenMP) scientific applications on multicore systems.

Charles W. Lively, Xingfu Wu, Valerie E. Taylor, Shirley Moore, Hung-Ching Chang, Chun-Yi Su, Kirk W. Cameron

Comput. Sci. Res. Dev., 2012

Performance Characteristics of Hybrid MPI/OpenMP Implementations of NAS Parallel Benchmarks SP and BT on Large-Scale Multicore Clusters.

Xingfu Wu, Valerie E. Taylor

Comput. J., 2012

SWAPP: A Framework for Performance Projections of HPC Applications Using Benchmarks.

Sameh Sharkawi, Don DeSota, Raj Panda, Stephen Stevens, Valerie E. Taylor, Xingfu Wu

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

2011

Performance characteristics of hybrid MPI/OpenMP implementations of NAS parallel benchmarks SP and BT on large-scale multicore supercomputers.

Xingfu Wu, Valerie E. Taylor

SIGMETRICS Perform. Evaluation Rev., 2011

Energy and performance characteristics of different parallel implementations of scientific applications on multicore systems.

Charles W. Lively, Xingfu Wu, Valerie E. Taylor, Shirley Moore, Hung-Ching Chang, Kirk W. Cameron

Int. J. High Perform. Comput. Appl., 2011

Performance Modeling of Hybrid MPI/OpenMP Scientific Applications on Large-scale Multicore Cluster Systems.

Xingfu Wu, Valerie E. Taylor

Proceedings of the 14th IEEE International Conference on Computational Science and Engineering, 2011

2009

Performance Analysis and Optimization of Parallel Scientific Applications on CMP Clusters.

Xingfu Wu, Valerie E. Taylor, Charles W. Lively, Sameh Sharkawi

Scalable Comput. Pract. Exp., 2009

Performance projection of HPC applications using SPEC CFP2006 benchmarks.

Sameh Sharkawi, Don DeSota, Raj Panda, Rajeev Indukuru, Stephen Stevens, Valerie E. Taylor, Xingfu Wu

Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

An OpenMP Approach to Modeling Dynamic Earthquake Rupture Along Geometrically Complex Faults on CMP Systems.

Xingfu Wu, Benchun Duan, Valerie E. Taylor

Proceedings of the ICPPW 2009, 2009

2008

Performance Analysis and Optimization of Parallel Scientific Applications on CMP Cluster Systems.

Xingfu Wu, Valerie E. Taylor, Charles W. Lively, Sameh Sharkawi

Proceedings of the 37th International Conference on Parallel Processing, 2008

Performance Analysis of Parallel Visualization Applications and Scientific Applications on an Optical Grid.

Xingfu Wu, Valerie E. Taylor

Proceedings of the International Conference on Cyberworlds 2008, 2008

2006

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

Proceedings of the 2006 IEEE International Conference on Cluster Computing, 2006

Approaches to Architecture-Aware Parallel Scientific Computation.

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

Proceedings of the Parallel Processing for Scientific Computing, 2006

2005

Performance Prediction-based versus Load-based Site Selection: Quantifying the Difference.

Seung-Hye Jang, Valerie E. Taylor, Xingfu Wu, Mieke Prajugo, Ewa Deelman, Gaurang Mehta, Karan Vahi

Proceedings of the ISCA 18th International Conference on Parallel and Distributed Computing Systems, 2005

2004

Guest Editors' Introduction.

Laurence Tianruo Yang, Marcin Paprzycki, Xiaohui Shen, Xingfu Wu

IEEE Distributed Syst. Online, 2004

Isocoupling: Reusing Kernel Coupling Values to Predict the Performance of Parallel Applications.

Xingfu Wu, Jonathan Geisler, Rick Stevens

Proceedings of the 18th International Parallel and Distributed Processing Symposium (IPDPS 2004), 2004

2003

Prophesy: an infrastructure for performance analysis and modeling of parallel and grid applications.

Valerie E. Taylor, Xingfu Wu, Rick L. Stevens

SIGMETRICS Perform. Evaluation Rev., 2003

Using Kernel Coupling to Improve the Performance of Multithreaded Applications.

Jonathan Geisler, Valerie E. Taylor, Xingfu Wu, Rick L. Stevens

Proceedings of the ISCA 16th International Conference on Parallel and Distributed Computing Systems, 2003

2002

Design and Development of a Scalable Distributed Debugger for Cluster Computing.

Xingfu Wu, Qingping Chen, Xian-He Sun

Clust. Comput., 2002

Using Kernel Couplings to Predict Parallel Application Performance.

Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Rick L. Stevens

Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing (HPDC-11 2002), 2002

2001

Design and Development of the Prophesy Performance Database for Distributed Scientific Applications.

Xingfu Wu, Valerie E. Taylor, Jonathan Geisler, Xin Li, Zhiling Lan, Rick L. Stevens, Mark Hereld, Ivan R. Judson

Proceedings of the Tenth SIAM Conference on Parallel Processing for Scientific Computing, 2001

Prophesy: Automating the Modeling Process.

Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Xin Li, Zhiling Lan, Mark Hereld, Ivan R. Judson, Rick L. Stevens

Proceedings of the 3rd Annual International Workshop on Active Middleware Services (AMS 2001), 2001

2000

PDRS: A Performance Data Representation System.

Xian-He Sun, Xingfu Wu

Proceedings of the Parallel and Distributed Processing, 2000

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

Proceedings of the Ninth IEEE International Symposium on High Performance Distributed Computing, 2000

1999

A Java-based Distributed Debbuger Supporting MPI and PVM.

Xingfu Wu, Xian-He Sun

Scalable Comput. Pract. Exp., 1999

1998

Performance models for scalable cluster computing.

Xingfu Wu, Wei Li

J. Syst. Archit., 1998

1997

An Approach to Scalability of Parallel Matrix Multiplication Algorithms.

Xingfu Wu

Proceedings of the Computing and Combinatorics, Third Annual International Conference, 1997

1996

Scalability of Parallel Algorithm Implementation.

Xingfu Wu, Wei Li

Proceedings of the 1996 International Symposium on Parallel Architectures, 1996