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ORCIDXingfu Wu
Person information
- affiliation: Argonne National Laboratory, Lemont, IL, USA
- affiliation (former): Texas A&M University, College Station, Texas, USA
- affiliation (PhD 1997): Beijing University of Aeronautics and Astronautics, China
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Journal Articles
- 2025
[j20]Xingfu Wu
, Prasanna Balaprakash, Michael Kruse, Jaehoon Koo, Brice Videau, Paul D. Hovland, Valerie Taylor, Brad Geltz, Siddhartha Jana, Mary W. Hall:
ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales. Concurr. Comput. Pract. Exp. 37(1) (2025)- [j19]Xingfu Wu, John R. Tramm, Jeffrey Larson, John-Luke Navarro, Prasanna Balaprakash, Brice Videau, Michael Kruse, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Integrating ytopt and libEnsemble to autotune OpenMC. Int. J. High Perform. Comput. Appl. 39(1): 79-103 (2025) - [j18]Daniel Lersch, Malachi Schram, Zhenyu Dai, Kishansingh Rajput, Nobuo Sato, Xingfu Wu, J. Taylor Childers, Steven Goldenberg:
SAGIPS: a physics-inspired scalable asynchronous generative inverse-problem solver. Mach. Learn. Sci. Technol. 6(2): 25017 (2025) - 2023
- [j17]Xingfu Wu, Valerie Taylor:
Utilizing ensemble learning for performance and power modeling and improvement of parallel cancer deep learning CANDLE benchmarks. Concurr. Comput. Pract. Exp. 35(15) (2023) - [j16]Xingfu Wu, Valerie Taylor, Zhiling Lan:
Performance and power modeling and prediction using MuMMI and 10 machine learning methods. Concurr. Comput. Pract. Exp. 35(15) (2023) - 2022
- [j15]Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Autotuning PolyBench benchmarks with LLVM Clang/Polly loop optimization pragmas using Bayesian optimization. Concurr. Comput. Pract. Exp. 34(20) (2022) - 2016
- [j14]Xingfu Wu, Valerie E. Taylor, Jeanine E. Cook, Philip J. Mucci:
Using Performance-Power Modeling to Improve Energy Efficiency of HPC Applications. Computer 49(10): 20-29 (2016) - 2014
- [j13]Charles W. Lively, Valerie E. Taylor, Xingfu Wu, Hung-Ching Chang, Chun-Yi Su, Kirk W. Cameron, Shirley Moore, Daniel Terpstra:
E-AMOM: an energy-aware modeling and optimization methodology for scientific applications. Comput. Sci. Res. Dev. 29(3-4): 197-210 (2014) - 2013
- [j12]Xingfu Wu, Valerie E. Taylor:
Performance Characteristics of Hybrid MPI/OpenMP Scientific Applications on a Largescale Multithreaded BlueGene/Q Supercomputer. Int. J. Networked Distributed Comput. 1(4): 213-225 (2013) - [j11]Xingfu Wu, Valerie E. Taylor:
Performance modeling of hybrid MPI/OpenMP scientific applications on large-scale multicore supercomputers. J. Comput. Syst. Sci. 79(8): 1256-1268 (2013) - 2012
- [j10]Xingfu Wu, Valerie E. Taylor:
Performance Characteristics of Hybrid MPI/OpenMP Implementations of NAS Parallel Benchmarks SP and BT on Large-Scale Multicore Clusters. Comput. J. 55(2): 154-167 (2012) - [j9]Charles W. Lively, Xingfu Wu, Valerie E. Taylor, Shirley Moore, Hung-Ching Chang, Chun-Yi Su, Kirk W. Cameron:
Power-aware predictive models of hybrid (MPI/OpenMP) scientific applications on multicore systems. Comput. Sci. Res. Dev. 27(4): 245-253 (2012) - 2011
- [j8]Charles W. Lively, Xingfu Wu, Valerie E. Taylor, Shirley Moore, Hung-Ching Chang, Kirk W. Cameron:
Energy and performance characteristics of different parallel implementations of scientific applications on multicore systems. Int. J. High Perform. Comput. Appl. 25(3): 342-350 (2011) - [j7]Xingfu Wu, Valerie E. Taylor:
Performance characteristics of hybrid MPI/OpenMP implementations of NAS parallel benchmarks SP and BT on large-scale multicore supercomputers. SIGMETRICS Perform. Evaluation Rev. 38(4): 56-62 (2011) - 2009
- [j6]Xingfu Wu, Valerie E. Taylor, Charles W. Lively, Sameh Sharkawi:
Performance Analysis and Optimization of Parallel Scientific Applications on CMP Clusters. Scalable Comput. Pract. Exp. 10(1) (2009) - 2004
- [j5]Laurence Tianruo Yang, Marcin Paprzycki, Xiaohui Shen, Xingfu Wu:
Guest Editors' Introduction. IEEE Distributed Syst. Online 5(1) (2004) - 2003
- [j4]Valerie E. Taylor, Xingfu Wu, Rick L. Stevens:
Prophesy: an infrastructure for performance analysis and modeling of parallel and grid applications. SIGMETRICS Perform. Evaluation Rev. 30(4): 13-18 (2003) - 2002
- [j3]Xingfu Wu, Qingping Chen, Xian-He Sun:
Design and Development of a Scalable Distributed Debugger for Cluster Computing. Clust. Comput. 5(4): 365-375 (2002) - 1999
- [j2]Xingfu Wu, Xian-He Sun:
A Java-based Distributed Debbuger Supporting MPI and PVM. Parallel Distributed Comput. Pract. 2(4) (1999) - 1998
- [j1]Xingfu Wu, Wei Li:
Performance models for scalable cluster computing. J. Syst. Archit. 44(3-4): 189-205 (1998)
Conference and Workshop Papers
- 2024
- [c37]Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor:
LASSI: An LLM-Based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes. CLUSTER Workshops 2024: 136-143 - 2023
- [c36]Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall, Rong Ge, Prasanna Balaprakash:
Transfer-learning-based Autotuning using Gaussian Copula. ICS 2023: 37-49 - [c35]Xingfu Wu, Praveen Paramasivam, Valerie Taylor:
Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization. SC Workshops 2023: 29-35 - 2022
- [c34]Kevin A. Huck, Xingfu Wu, Anshu Dubey, Antigoni Georgiadou, James Austin Harris, Tom Klosterman, Matthew Trappett, Klaus Weide:
Performance Debugging and Tuning of Flash-X with Data Analysis Tools. ProTools@SC 2022: 1-10 - 2021
- [c33]Sahil Sharma, Zhiling Lan, Xingfu Wu, Valerie Taylor:
A Dynamic Power Capping Library for HPC Applications. CLUSTER 2021: 797-798 - [c32]Xingfu Wu, Valerie Taylor, Zhiling Lan:
Performance and Energy Improvement of ECP Proxy App SW4lite under Various Workloads. MCHPC@SC 2021: 17-24 - [c31]Jaehoon Koo, Prasanna Balaprakash, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall:
Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations. PMBS 2021: 82-93 - 2020
- [c30]Xingfu Wu, Aniruddha Marathe, Siddhartha Jana, Ondrej Vysocky, Jophin John, Andrea Bartolini, Lubomir Riha, Michael Gerndt, Valerie Taylor, Sridutt Bhalachandra:
Toward an End-to-End Auto-tuning Framework in HPC PowerStack. CLUSTER 2020: 473-483 - [c29]Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization. PMBS@SC 2020: 61-70 - 2019
- [c28]Xingfu Wu, Valerie E. Taylor, Justin M. Wozniak, Rick Stevens, Thomas S. Brettin, Fangfang Xia:
Performance, Energy, and Scalability Analysis and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks. ICPP 2019: 78:1-78:11 - 2017
- [c27]Kishwar Ahmed, Jason Liu, Xingfu Wu:
An Energy Efficient Demand-Response Model for High Performance Computing Systems. MASCOTS 2017: 175-186 - [c26]Xingfu Wu, Valerie E. Taylor, Jeanine E. Cook, Tanner Juedeman:
Performance and Power Characteristics and Optimizations of Hybrid MPI/OpenMP LULESH Miniapps under Various Workloads. E2SC@SC 2017: 4:1-4:8 - 2016
- [c25]Xingfu Wu, Valerie E. Taylor:
Utilizing Hardware Performance Counters to Model and Optimize the Energy and Performance of Large Scale Scientific Applications on Power-Aware Supercomputers. IPDPS Workshops 2016: 1180-1189 - 2015
- [c24]Xingfu Wu, Valerie E. Taylor:
Power and performance characteristics of CORAL Scalable Science Benchmarks on BlueGene/Q Mira. IGSC 2015: 1-6 - 2014
- [c23]Jiayuan Meng, Xingfu Wu, Vitali A. Morozov, Venkatram Vishwanath, Kalyan Kumaran, Valerie E. Taylor:
SKOPE: a framework for modeling and exploring workload behavior. Conf. Computing Frontiers 2014: 6:1-6:10 - [c22]Xingfu Wu, Guangtai Ding, Valerie E. Taylor:
Parallel Optical Flow Processing of 4D Cardiac CT Data on Multicore Clusters. CSE 2014: 113-120 - 2013
- [c21]Xingfu Wu, Valerie E. Taylor, Charles W. Lively, Hung-Ching Chang, Bo Li, Kirk W. Cameron, Daniel Terpstra, Shirley Moore:
MuMMI: Multiple Metrics Modeling Infrastructure. Parallel Tools Workshop 2013: 53-65 - [c20]Xingfu Wu, Charles W. Lively, Valerie E. Taylor, Hung-Ching Chang, Chun-Yi Su, Kirk W. Cameron, Shirley Moore, Daniel Terpstra, Vincent M. Weaver:
MuMMI: Multiple Metrics Modeling Infrastructure. SNPD 2013 - [c19]Xingfu Wu, Valerie E. Taylor:
Performance Characteristics of Hybrid MPI/OpenMP Scientific Applications on a Large-Scale Multithreaded BlueGene/Q Supercomputer. SNPD 2013: 303-309 - [c18]Xingfu Wu, Hung-Ching Chang, Shirley Moore, Valerie E. Taylor, Chun-Yi Su, Daniel Terpstra, Charles W. Lively, Kirk W. Cameron, Chee Wai Lee:
MuMMI: multiple metrics modeling infrastructure for exploring performance and power modeling. XSEDE 2013: 36:1-36:8 - 2012
- [c17]Sameh Sharkawi, Don DeSota, Raj Panda, Stephen Stevens, Valerie E. Taylor, Xingfu Wu:
SWAPP: A Framework for Performance Projections of HPC Applications Using Benchmarks. IPDPS Workshops 2012: 1722-1731 - 2011
- [c16]Xingfu Wu, Valerie E. Taylor:
Performance Modeling of Hybrid MPI/OpenMP Scientific Applications on Large-scale Multicore Cluster Systems. CSE 2011: 181-190 - 2009
- [c15]Xingfu Wu, Benchun Duan, Valerie E. Taylor:
An OpenMP Approach to Modeling Dynamic Earthquake Rupture Along Geometrically Complex Faults on CMP Systems. ICPP Workshops 2009: 146-153 - [c14]Sameh Sharkawi, Don DeSota, Raj Panda, Rajeev Indukuru, Stephen Stevens, Valerie E. Taylor, Xingfu Wu:
Performance projection of HPC applications using SPEC CFP2006 benchmarks. IPDPS 2009: 1-12 - 2008
- [c13]Xingfu Wu, Valerie E. Taylor:
Performance Analysis of Parallel Visualization Applications and Scientific Applications on an Optical Grid. CW 2008: 447-454 - [c12]Xingfu Wu, Valerie E. Taylor, Charles W. Lively, Sameh Sharkawi:
Performance Analysis and Optimization of Parallel Scientific Applications on CMP Cluster Systems. ICPP Workshops 2008: 188-195 - 2006
- [c11]Xingfu Wu, Valerie E. Taylor, Shane Garrick, Dazhi Yu, Jacques Richard:
Performance Analysis, Modeling and Prediction of a Parallel Multiblock Lattice Boltzmann Application Using Prophesy System. CLUSTER 2006 - 2005
- [c10]Seung-Hye Jang, Valerie E. Taylor, Xingfu Wu, Mieke Prajugo, Ewa Deelman, Gaurang Mehta, Karan Vahi:
Performance Prediction-based versus Load-based Site Selection: Quantifying the Difference. PDCS 2005: 148-153 - 2004
- [c9]Xingfu Wu, Jonathan Geisler, Rick Stevens:
Isocoupling: Reusing Kernel Coupling Values to Predict the Performance of Parallel Applications. IPDPS 2004 - 2003
- [c8]Jonathan Geisler, Valerie E. Taylor, Xingfu Wu, Rick L. Stevens:
Using Kernel Coupling to Improve the Performance of Multithreaded Applications. PDCS 2003: 361-368 - 2002
- [c7]Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Rick L. Stevens:
Using Kernel Couplings to Predict Parallel Application Performance. HPDC 2002: 125-134 - 2001
- [c6]Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Xin Li, Zhiling Lan, Mark Hereld, Ivan R. Judson, Rick L. Stevens:
Prophesy: Automating the Modeling Process. Active Middleware Services 2001: 3-11 - [c5]Xingfu Wu, Valerie E. Taylor, Jonathan Geisler, Xin Li, Zhiling Lan, Rick L. Stevens, Mark Hereld, Ivan R. Judson:
Design and Development of the Prophesy Performance Database for Distributed Scientific Applications. PP 2001 - 2000
- [c4]Xingfu Wu, Valerie E. Taylor, Jonathan Geisler, Xin Li, Zhiling Lan, Rick L. Stevens, Mark Hereld, Ivan R. Judson:
Prophesy: An Infrastructure for Analyzing and Modeling the Performance of Parallel and Distributed Applications. HPDC 2000: 302-303 - [c3]Xian-He Sun, Xingfu Wu:
PDRS: A Performance Data Representation System. IPDPS Workshops 2000: 277-284 - 1997
- [c2]Xingfu Wu:
An Approach to Scalability of Parallel Matrix Multiplication Algorithms. COCOON 1997: 492-501 - 1996
- [c1]Xingfu Wu, Wei Li:
Scalability of Parallel Algorithm Implementation. ISPAN 1996: 559-561
Parts in Books or Collections
- 2006
- [p1]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:
Approaches to Architecture-Aware Parallel Scientific Computation. Parallel Processing for Scientific Computing 2006: 33-58
Informal and Other Publications
- 2025
- [i18]Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor:
Leveraging LLMs to Automate Energy-Aware Refactoring of Parallel Scientific Codes. CoRR abs/2505.02184 (2025) - [i17]Md Arafat Hossain, Xingfu Wu, Valerie Taylor, Ali Jannesari:
Generalizing Scaling Laws for Dense and Sparse Large Language Models. CoRR abs/2508.06617 (2025) - [i16]Zhong Zheng, Zhiling Lan, Xingfu Wu, Valerie E. Taylor, Michael E. Papka:
Coordinated Power Management on Heterogeneous Systems. CoRR abs/2508.07605 (2025) - 2024
- [i15]Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall, Rong Ge, Prasanna Balaprakash:
Transfer-Learning-Based Autotuning Using Gaussian Copula. CoRR abs/2401.04669 (2024) - [i14]Xingfu Wu, John R. Tramm, Jeffrey Larson, John-Luke Navarro, Prasanna Balaprakash, Brice Videau, Michael Kruse, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Integrating ytopt and libEnsemble to Autotune OpenMC. CoRR abs/2402.09222 (2024) - [i13]Xingfu Wu, Tupendra Oli, ustin H. Qian, Valerie Taylor, Mark C. Hersam, Vinod K. Sangwan:
An Autotuning-based Optimization Framework for Mixed-kernel SVM Classifications in Smart Pixel Datasets and Heterojunction Transistors. CoRR abs/2406.18445 (2024) - [i12]Daniel Lersch, Malachi Schram, Zhenyu Dai, Kishansingh Rajput, Xingfu Wu, N. Sato, J. Taylor Childers:
SAGIPS: A Scalable Asynchronous Generative Inverse Problem Solver. CoRR abs/2407.00051 (2024) - [i11]Wilkie Olin-Ammentorp, Xingfu Wu, Andrew A. Chien:
Modeling Performance of Data Collection Systems for High-Energy Physics. CoRR abs/2407.00123 (2024) - [i10]Matthew T. Dearing, Yiheng Tao, Xingfu Wu, Zhiling Lan, Valerie Taylor:
LASSI: An LLM-based Automated Self-Correcting Pipeline for Translating Parallel Scientific Codes. CoRR abs/2407.01638 (2024) - 2023
- [i9]Xingfu Wu, Prasanna Balaprakash, Michael Kruse, Jaehoon Koo, Brice Videau, Paul D. Hovland, Valerie Taylor, Brad Geltz, Siddhartha Jana, Mary W. Hall:
ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales. CoRR abs/2303.16245 (2023) - [i8]Xingfu Wu, Praveen Paramasivam, Valerie Taylor:
Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization. CoRR abs/2309.07235 (2023) - 2021
- [i7]Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization (extended version). CoRR abs/2104.13242 (2021) - [i6]Jaehoon Koo, Prasanna Balaprakash, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall:
Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations. CoRR abs/2105.04555 (2021) - 2020
- [i5]Xingfu Wu, Aniruddha Marathe, Siddhartha Jana, Ondrej Vysocky, Jophin John, Andrea Bartolini, Lubomir Riha, Michael Gerndt, Valerie Taylor, Sridutt Bhalachandra:
Toward an End-to-End Auto-tuning Framework in HPC PowerStack. CoRR abs/2008.06571 (2020) - [i4]Michael Kruse, Hal Finkel, Xingfu Wu:
Autotuning Search Space for Loop Transformations. CoRR abs/2010.06521 (2020) - [i3]Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization. CoRR abs/2010.08040 (2020) - [i2]Xingfu Wu, Valerie Taylor:
Utilizing Ensemble Learning for Performance and Power Modeling and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks. CoRR abs/2011.06654 (2020) - [i1]Xingfu Wu, Valerie Taylor, Zhiling Lan:
Performance and Power Modeling and Prediction Using MuMMI and Ten Machine Learning Methods. CoRR abs/2011.06655 (2020)
Coauthor Index
Valerie Taylor 0001
aka: Valerie E. Taylor
aka: Valerie E. Taylor
[j20] [j19] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j4] [c37] [c35] [c33] [c32] [c30] [c29] [c28] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c8] [c7] [c6] [c5] [c4] [p1] [i18] [i17] [i16] [i14] [i13] [i10] [i9] [i8] [i7] [i5] [i3] [i2] [i1]
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