Xingfu Wu

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 31

Top Topics

Machine Learning Methods

Optimization Method

Data Analysis Tools

Monte Carlo Tree Search

Top Venues

Concurr. Comput. Pract. Exp.

Publications

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 (2024)
Daniel Lersch, Malachi Schram, Zhenyu Dai, Kishansingh Rajput, Xingfu Wu, N. Sato, J. Taylor Childers
SAGIPS: A Scalable Asynchronous Generative Inverse Problem Solver. CoRR (2024)
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
Integrating ytopt and libEnsemble to Autotune OpenMC. CoRR (2024)
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 (2024)
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 (2024)
Wilkie Olin-Ammentorp, Xingfu Wu, Andrew A. Chien
Modeling Performance of Data Collection Systems for High-Energy Physics. CoRR (2024)
Xingfu Wu, Valerie E. 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)
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)
Xingfu Wu, Prasanna Balaprakash, Michael Kruse, Jaehoon Koo, Brice Videau, Paul D. Hovland, Valerie E. Taylor, Brad Geltz, Siddhartha Jana, Mary W. Hall
ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales. CoRR (2023)
Xingfu Wu, Praveen Paramasivam, Valerie Taylor
Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization. CoRR (2023)
Xingfu Wu, Valerie E. Taylor, Zhiling Lan
Performance and power modeling and prediction using MuMMI and 10 machine learning methods. Concurr. Comput. Pract. Exp. 35 (15) (2023)
Xingfu Wu, Praveen Paramasivam, Valerie E. Taylor
Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization. SC Workshops (2023)
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)
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)
Xingfu Wu, Valerie E. Taylor, Zhiling Lan
Performance and Energy Improvement of ECP Proxy App SW4lite under Various Workloads. MCHPC@SC (2021)
Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie E. Taylor, Mary W. Hall
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization (extended version). CoRR (2021)
Sahil Sharma, Zhiling Lan, Xingfu Wu, Valerie Taylor
A Dynamic Power Capping Library for HPC Applications. CLUSTER (2021)
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)
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 (2021)
Xingfu Wu, Valerie E. Taylor, Zhiling Lan
Performance and Power Modeling and Prediction Using MuMMI and Ten Machine Learning Methods. CoRR (2020)
Michael Kruse, Hal Finkel, Xingfu Wu
Autotuning Search Space for Loop Transformations. CoRR (2020)
Xingfu Wu, Aniruddha Marathe, Siddhartha Jana, Ondrej Vysocky, Jophin John, Andrea Bartolini, Lubomir Riha, Michael Gerndt, Valerie E. Taylor, Sridutt Bhalachandra
Toward an End-to-End Auto-tuning Framework in HPC PowerStack. CLUSTER (2020)
Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie E. Taylor, Mary W. Hall
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization. PMBS@SC (2020)
Xingfu Wu, Valerie E. Taylor
Utilizing Ensemble Learning for Performance and Power Modeling and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks. CoRR (2020)
Xingfu Wu, Aniruddha Marathe, Siddhartha Jana, Ondrej Vysocky, Jophin John, Andrea Bartolini, Lubomir Riha, Michael Gerndt, Valerie E. Taylor, Sridutt Bhalachandra
Toward an End-to-End Auto-tuning Framework in HPC PowerStack. CoRR (2020)
Xingfu Wu, Michael Kruse, Prasanna Balaprakash, Hal Finkel, Paul D. Hovland, Valerie E. Taylor, Mary W. Hall
Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization. CoRR (2020)
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)
Kishwar Ahmed, Jason Liu, Xingfu Wu
An Energy Efficient Demand-Response Model for High Performance Computing Systems. MASCOTS (2017)
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)
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)
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) (2016)
Xingfu Wu, Valerie E. Taylor
Power and performance characteristics of CORAL Scalable Science Benchmarks on BlueGene/Q Mira. IGSC (2015)
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)
Xingfu Wu, Guangtai Ding, Valerie E. Taylor
Parallel Optical Flow Processing of 4D Cardiac CT Data on Multicore Clusters. CSE (2014)
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) (2014)
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)
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)
Xingfu Wu, Valerie E. Taylor
Performance Characteristics of Hybrid MPI/OpenMP Scientific Applications on a Large-Scale Multithreaded BlueGene/Q Supercomputer. SNPD (2013)
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) (2013)
Xingfu Wu, Valerie E. Taylor
Performance modeling of hybrid MPI/OpenMP scientific applications on large-scale multicore supercomputers. J. Comput. Syst. Sci. 79 (8) (2013)
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)
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) (2012)
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) (2012)
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)
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) (2011)
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) (2011)
Xingfu Wu, Valerie E. Taylor
Performance Modeling of Hybrid MPI/OpenMP Scientific Applications on Large-scale Multicore Cluster Systems. CSE (2011)
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)
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)
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)
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)
Xingfu Wu, Valerie E. Taylor
Performance Analysis of Parallel Visualization Applications and Scientific Applications on an Optical Grid. CW (2008)
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)
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)
Laurence Tianruo Yang, Marcin Paprzycki, Xiaohui Shen, Xingfu Wu
Guest Editors' Introduction. IEEE Distributed Syst. Online 5 (1) (2004)
Xingfu Wu, Jonathan Geisler, Rick Stevens
Isocoupling: Reusing Kernel Coupling Values to Predict the Performance of Parallel Applications. IPDPS (2004)
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) (2003)
Jonathan Geisler, Valerie E. Taylor, Xingfu Wu, Rick L. Stevens
Using Kernel Coupling to Improve the Performance of Multithreaded Applications. PDCS (2003)
Valerie E. Taylor, Xingfu Wu, Jonathan Geisler, Rick L. Stevens
Using Kernel Couplings to Predict Parallel Application Performance. HPDC (2002)
Xingfu Wu, Qingping Chen, Xian-He Sun
Design and Development of a Scalable Distributed Debugger for Cluster Computing. Clust. Comput. 5 (4) (2002)
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. PPSC (2001)
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)
Xian-He Sun, Xingfu Wu
PDRS: A Performance Data Representation System. IPDPS Workshops (2000)
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)
Xingfu Wu, X.-H. Sun
A Java-based Distributed Debbuger Supporting MPI and PVM. Scalable Comput. Pract. Exp. 2 (4) (1999)
Xingfu Wu, Wei Li
Performance models for scalable cluster computing. J. Syst. Archit. 44 (3-4) (1998)
Xingfu Wu
An Approach to Scalability of Parallel Matrix Multiplication Algorithms. COCOON (1997)
Xingfu Wu, Wei Li
Scalability of Parallel Algorithm Implementation. ISPAN (1996)