Chunhua Liao

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 82

Top Venues

Publications

Alnis Murtovi, Giorgis Georgakoudis, Konstantinos Parasyris, Chunhua Liao, Ignacio Laguna, Bernhard Steffen
Enhancing Performance Through Control-Flow Unmerging and Loop Unrolling on GPUs. CGO (2024)
Fei Ren, Chunhua Liao, Zhina Xie
Bilateral transformer 3D planar recovery. Graph. Model. 134 (2024)
Jing Geng, Junwei Lv, Jie Pei, Chunhua Liao, Qiuyuan Tan, Tianxing Wang, Huajun Fang, Li Wang
Prediction of soil organic carbon in black soil based on a synergistic scheme from hyperspectral data: Combining fractional-order derivatives and three-dimensional spectral indices. Comput. Electron. Agric. 220 (2024)
Bin Lei, Caiwen Ding, Le Chen, Pei-Hung Lin, Chunhua Liao
Creating a Dataset for High-Performance Computing Code Translation: A Bridge Between HPC Fortran and C++. CoRR (2023)
Xianzhong Ding, Le Chen, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Zhen Xie, Alberto Cerpa, Wan Du
HPC-GPT: Integrating Large Language Model for High-Performance Computing. SC Workshops (2023)
Xianzhong Ding, Le Chen, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Zhen Xie, Alberto E. Cerpa, Wan Du
HPC-GPT: Integrating Large Language Model for High-Performance Computing. CoRR (2023)
Giorgis Georgakoudis, Konstantinos Parasyris, Chunhua Liao, David Beckingsale, Todd Gamblin, Bronis R. de Supinski
Machine Learning-Driven Adaptive OpenMP For Portable Performance on Heterogeneous Systems. CoRR (2023)
Bin Lei, Pei-Hung Lin, Chunhua Liao, Caiwen Ding
Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought. CoRR (2023)
Dairong Chen, Haoxuan Hu, Chunhua Liao, Junyan Ye, Wenhao Bao, Jinglin Mo, Yue Wu, Taifeng Dong, Hong Fan, Jie Pei
Crop NDVI time series construction by fusing Sentinel-1, Sentinel-2, and environmental data with an ensemble-based framework. Comput. Electron. Agric. 215 (2023)
Bin Lei, Sheng Lin, Pei-Hung Lin, Chunhua Liao, Caiwen Ding
Towards Zero Memory Footprint Spiking Neural Network Training. CoRR (2023)
Bin Lei, Caiwen Ding, Le Chen, Pei-Hung Lin, Chunhua Liao
Creating a Dataset for High-Performance Computing Code Translation using LLMs: A Bridge Between OpenMP Fortran and C++. HPEC (2023)
Junyan Ye, Wenhao Bao, Chunhua Liao, Dairong Chen, Haoxuan Hu
Corn Phenology Detection Using the Derivative Dynamic Time Warping Method and Sentinel-2 Time Series. Remote. Sens. 15 (14) (2023)
Yongjun He, Jinfei Wang, Chunhua Liao, Xin Zhou, Bo Shan
MS4D-Net: Multitask-Based Semi-Supervised Semantic Segmentation Framework with Perturbed Dual Mean Teachers for Building Damage Assessment from High-Resolution Remote Sensing Imagery. Remote. Sens. 15 (2) (2023)
Le Chen, Pei-Hung Lin, Tristan Vanderbruggen, Chunhua Liao, Murali Emani, Bronis R. de Supinski
LM4HPC: Towards Effective Language Model Application in High-Performance Computing. CoRR (2023)
Yue Wu, Chunhua Liao
Early Crop Classification Based on Historical Annual Crop Inventory Data and Remote Sensing Data. Agro-Geoinformatics (2023)
Le Chen, Pei-Hung Lin, Tristan Vanderbruggen, Chunhua Liao, Murali Emani, Bronis R. de Supinski
LM4HPC: Towards Effective Language Model Application in High-Performance Computing. IWOMP (2023)
Le Chen, Xianzhong Ding, Murali Emani, Tristan Vanderbruggen, Pei-Hung Lin, Chunhua Liao
Data Race Detection Using Large Language Models. CoRR (2023)
Le Chen, Wenhao Wu, Stephen F. Siegel, Pei-Hung Lin, Chunhua Liao
DataRaceBench V1.4.1 and DataRaceBench-ML V0.1: Benchmark Suites for Data Race Detection. CoRR (2023)
Le Chen, Xianzhong Ding, Murali Emani, Tristan Vanderbruggen, Pei-Hung Lin, Chunhua Liao
Data Race Detection Using Large Language Models. SC Workshops (2023)
Min Sun, Yanan Du, Qingyao Liu, Guangcai Feng, Xing Peng, Chunhua Liao
Understanding the Spatial-Temporal Characteristics of Land Subsidence in Shenzhen under Rapid Urbanization Based on MT-InSAR. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Tristan Vanderbruggen, Chunhua Liao, Peter Pirkelbauer, Pei-Hung Lin
Structured Thoughts Automaton: First Formalized Execution Model for Auto-Regressive Language Models. CoRR (2023)
Patrick J. Flynn, Tristan Vanderbruggen, Chunhua Liao, Pei-Hung Lin, Murali Emani, Xipeng Shen
Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines. CoRR (2022)
Yongjun He, Jinfei Wang, Ying Zhang, Chunhua Liao
Enhancement of Urban Floodwater Mapping From Aerial Imagery With Dense Shadows via Semisupervised Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Pei-Hung Lin, Chunhua Liao, Winson Chen, Tristan Vanderbruggen, Murali Emani, Hailu Xu
Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study. CoRR (2022)
José Wesley de Souza Magalhães, Chunhua Liao, Fernando Magno Quintão Pereira
Automatic inspection of program state in an uncooperative environment. Softw. Pract. Exp. 52 (12) (2022)
Yongjun He, Jinfei Wang, Chunhua Liao, Bo Shan, Xin Zhou
ClassHyPer: ClassMix-Based Hybrid Perturbations for Deep Semi-Supervised Semantic Segmentation of Remote Sensing Imagery. Remote. Sens. 14 (4) (2022)
Ethan Dorta, Yonghong Yan, Chunhua Liao
Generating and Analyzing Program Call Graphs using Ontology. ProTools@SC (2022)
Brandon Nesterenko, Qing Yi, Pei-Hung Lin, Chunhua Liao, Brandon Runnels
Modeling optimization of stencil computations via domain-level properties. PMAM@PPoPP (2022)
Zifan Nan, Mithil Dave, Xipeng Shen, Chunhua Liao, Tristan Vanderbruggen, Pei-Hung Lin, Murali Emani
Interactive NLU-Powered Ontology-Based Workflow Synthesis for FAIR Support of HPC. HUST@SC (2022)
Pei-Hung Lin, Chunhua Liao, Winson Chen, Tristan Vanderbruggen, Murali Emani, Hailu Xu
Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study. TransAI (2022)
Hailu Xu, Pei-Hung Lin, Murali Emani, Liting Hu, Chunhua Liao
XUnified: A Framework for Guiding Optimal Use of GPU Unified Memory. IEEE Access 10 (2022)
Patrick J. Flynn, Tristan Vanderbruggen, Chunhua Liao, Pei-Hung Lin, Murali Emani, Xipeng Shen
Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines. ECSA (Tracks and Workshops) (2022)
Giorgis Georgakoudis, Thomas R. W. Scogland, Chunhua Liao, Bronis R. de Supinski
Extending OpenMP to Support Automated Function Specialization Across Translation Units. IWOMP (2022)
Sixing Yu, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Xipeng Shen, Ali Jannesari
Towards Seamless Management of AI Models in High-Performance Computing. CoRR (2022)
Winson Chen, Tristan Vanderbruggen, Pei-Hung Lin, Chunhua Liao, Murali Emani
Early Experience with Transformer-Based Similarity Analysis for DataRaceBench. Correctness@SC (2022)
Zifan Nan, Hui Guan, Xipeng Shen, Chunhua Liao
Deep NLP-based co-evolvement for synthesizing code analysis from natural language. CC (2021)
Qinghua Xie, Kunyu Lai, Jinfei Wang, Juan M. Lopez-Sanchez, Jiali Shang, Chunhua Liao, Jianjun Zhu, Haiqiang Fu, Xing Peng
Crop Monitoring and Classification Using Polarimetric RADARSAT-2 Time-Series Data Across Growing Season: A Case Study in Southwestern Ontario, Canada. Remote. Sens. 13 (7) (2021)
Yaying Shi, Anjia Wang, Yonghong Yan, Chunhua Liao
RDS: a cloud-based metaservice for detecting data races in parallel programs. UCC (2021)
Chunhua Liao, Anjia Wang, Giorgis Georgakoudis, Bronis R. de Supinski, Yonghong Yan, David Beckingsale, Todd Gamblin
Extending OpenMP for Machine Learning-Driven Adaptation. WACCPD@SC (2021)
Gangqiang An, Minfeng Xing, Binbin He, Haiqi Kang, Jiali Shang, Chunhua Liao, Xiaodong Huang, Hongguo Zhang
Extraction of Areas of Rice False Smut Infection Using UAV Hyperspectral Data. Remote. Sens. 13 (16) (2021)
Xinyao Yi, David Stokes, Yonghong Yan, Chunhua Liao
CUDAMicroBench: Microbenchmarks to Assist CUDA Performance Programming. IPDPS Workshops (2021)
Gaurav Verma, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Xipeng Shen, Barbara M. Chapman
HPCFAIR: Enabling FAIR AI for HPC Applications. MLHPC@SC (2021)
Pei-Hung Lin, Chunhua Liao
High-Precision Evaluation of Both Static and Dynamic Tools using DataRaceBench. Correctness@SC (2021)
Qinghua Xie, Jinfei Wang, Juan M. Lopez-Sanchez, Xing Peng, Chunhua Liao, Jiali Shang, Jianjun Zhu, Haiqiang Fu, J. David Ballester-Berman
Crop Height Estimation of Corn from Multi-Year RADARSAT-2 Polarimetric Observables Using Machine Learning. Remote. Sens. 13 (3) (2021)
Chunhua Liao, Pei-Hung Lin, Gaurav Verma, Tristan Vanderbruggen, Murali Emani, Zifan Nan, Xipeng Shen
HPC Ontology: Towards a Unified Ontology for Managing Training Datasets and AI Models for High-Performance Computing. MLHPC@SC (2021)
Zhong Zheng, Jinfei Wang, Bo Shan, Yongjun He, Chunhua Liao, Yanghua Gao, Shiqi Yang
A New Model for Transfer Learning-Based Mapping of Burn Severity. Remote. Sens. 12 (4) (2020)
Gangqiang An, Minfeng Xing, Chunhua Liao, Binbin He
Estimating Chlorophyll Content of Rice Based on UAV-Based Hyperspectral Imagery and Continuous Wavelet Transform. IGARSS (2020)
Justin Gosselin, Anjia Wang, Peter Pirkelbauer, Chunhua Liao, Yonghong Yan, Damian Dechev
Extending FreeCompilerCamp.org as an Online Self-Learning Platform for Compiler Development. EduHPC@SC (2020)
Yang Song, Jinfei Wang, Jiali Shang, Chunhua Liao
Using UAV-Based SOPC Derived LAI and SAFY Model for Biomass and Yield Estimation of Winter Wheat. Remote. Sens. 12 (15) (2020)
Gaurav Verma, Yaying Shi, Chunhua Liao, Barbara M. Chapman, Yonghong Yan
Enhancing DataRaceBench for Evaluating Data Race Detection Tools. CORRECTNESS@SC (2020)
Chunhua Liao, Jinfei Wang, Qinghua Xie, Ayman Al Baz, Xiaodong Huang, Jiali Shang, Yongjun He
Synergistic Use of Multi-Temporal RADARSAT-2 and VENµS Data for Crop Classification Based on 1D Convolutional Neural Network. Remote. Sens. 12 (5) (2020)
Gangqiang An, Minfeng Xing, Binbin He, Chunhua Liao, Xiaodong Huang, Jiali Shang, Haiqi Kang
Using Machine Learning for Estimating Rice Chlorophyll Content from In Situ Hyperspectral Data. Remote. Sens. 12 (18) (2020)
Gleison Souza Diniz Mendonca, Chunhua Liao, Fernando Magno Quintão Pereira
AutoParBench: a unified test framework for OpenMP-based parallelizers. ICS (2020)
Peter Pirkelbauer, Pei-Hung Lin, Tristan Vanderbruggen, Chunhua Liao
XPlacer: Automatic Analysis of Data Access Patterns on Heterogeneous CPU/GPU Systems. IPDPS (2020)
William S. Monroe, Michael Witt, Maria Pantoja, Christopher Lupo, Anne C. Elster, Joel C. Adams, Mark C. Wissink, Hang Liu, Chunhua Liao, Raphael B. Yehezkael, Benjamin H. Glick, Ravi Tripathi, Brian Smith, Jens Mache, Trilce Estrada, Debzani Deb, Ujjal Bhowmik, Yuting Chen, Dong San Choi, Zuofu Cheng, Gladys K. Andino, Pete E. Pascuzzi, Mark Daniel Ward
Lightning Talks of EduHPC 2019. EduHPC@SC (2019)
Jie Ren, Chunhua Liao, Dong Li
Opera: Similarity Analysis on Data Access Patterns of OpenMP Tasks to Optimize Task Affinity. IPDPS Workshops (2019)
Qinghua Xie, Jinfei Wang, Chunhua Liao, Jiali Shang, Juan M. Lopez-Sanchez, Haiqiang Fu, Xiuguo Liu
On the Use of Neumann Decomposition for Crop Classification Using Multi-Temporal RADARSAT-2 Polarimetric SAR Data. Remote. Sens. 11 (7) (2019)
Pei-Hung Lin, Chunhua Liao, Markus Schordan, Ian Karlin
Exploring Regression of Data Race Detection Tools Using DataRaceBench. CORRECTNESS@SC (2019)
Anjia Wang, Yaying Shi, Xinyao Yi, Yonghong Yan, Chunhua Liao, Bronis R. de Supinski
Ompparser: A Standalone and Unified OpenMP Parser. IWOMP (2019)
Yonghong Yan, Anjia Wang, Chunhua Liao, Thomas R. W. Scogland, Bronis R. de Supinski
Extending OpenMP Metadirective Semantics for Runtime Adaptation. IWOMP (2019)
Hailu Xu, Murali Emani, Pei-Hung Lin, Liting Hu, Chunhua Liao
Machine Learning Guided Optimal Use of GPU Unified Memory. MCHPC@SC (2019)
Chunhua Liao, Jinfei Wang, Bo Shan
Corn Biomass Estimation Using Sentinel-2 and VENµS Data Based on A Simple Light Use Efficiency Method. IGARSS (2019)
Yue Zhao, Jiajia Li, Chunhua Liao, Xipeng Shen
Bridging the gap between deep learning and sparse matrix format selection. PPOPP (2018)
Pei-Hung Lin, Chunhua Liao, Markus Schordan, Ian Karlin
Runtime and Memory Evaluation of Data Race Detection Tools. ISoLA (2) (2018)
Fangke Ye, Markus Schordan, Chunhua Liao, Pei-Hung Lin, Ian Karlin, Vivek Sarkar
Using Polyhedral Analysis to Verify OpenMP Applications are Data Race Free. CORRECTNESS@SC (2018)
Larisa Stoltzfus, Murali Emani, Pei-Hung Lin, Chunhua Liao
Data Placement Optimization in GPU Memory Hierarchy using Predictive Modeling. MCHPC@SC (2018)
Chunhua Liao, Pei-Hung Lin, Markus Schordan, Ian Karlin
A Semantics-Driven Approach to Improving DataRaceBench's OpenMP Standard Coverage. IWOMP (2018)
Md Abdullah Shahneous Bari, Larisa Stoltzfus, Pei-Hung Lin, Chunhua Liao, Murali Emani, Barbara M. Chapman
Is Data Placement Optimization Still Relevant on Newer GPUs? PMBS@SC (2018)
Yue Zhao, Chunhua Liao, Xipeng Shen
POSTER: An Infrastructure for HPC Knowledge Sharing and Reuse. PPOPP (2017)
Chunhua Liao, Pei-Hung Lin, Joshua Asplund, Markus Schordan, Ian Karlin
DataRaceBench: a benchmark suite for systematic evaluation of data race detection tools. SC (2017)
Tristan Vanderbruggen, John Cavazos, Chunhua Liao, Daniel J. Quinlan
Directive-based tile abstraction to distribute loops on accelerators. GPGPU@PPoPP (2017)
Yue Zhao, Jiajia Li, Chunhua Liao, Xipeng Shen
POSTER: Bridging the Gap Between Deep Learning and Sparse Matrix Format Selection. PACT (2017)
Chunhua Liao, Jinfei Wang, Ian Pritchard, Jiangui Liu, Jiali Shang
A Spatio-Temporal Data Fusion Model for Generating NDVI Time Series in Heterogeneous Regions. Remote. Sens. 9 (11) (2017)
Yonghong Yan, Jeff R. Hammond, Chunhua Liao, Alexandre E. Eichenberger
A Proposal to OpenMP for Addressing the CPU Oversubscription Challenge. IWOMP (2016)
Pedro C. Diniz, Chunhua Liao, Daniel J. Quinlan, Robert F. Lucas
Pragma-Controlled Source-to-Source Code Transformations for Robust Application Execution. Euro-Par Workshops (2016)
Chunhua Liao, Jinfei Wang
Evaluation of spatio-temporal data fusion methods for generating NDVI time series in cropland areas. IGARSS (2016)
Yue Zhao, Guoyang Chen, Chunhua Liao, Xipeng Shen
Towards Ontology-Based Program Analysis. ECOOP (2016)
Pei-Hung Lin, Qing Yi, Daniel J. Quinlan, Chunhua Liao, Yongqing Yan
Automatically Optimizing Stencil Computations on Many-Core NUMA Architectures. LCPC (2016)
Weidong Wang, Chunhua Liao, Liqiang Wang, Daniel J. Quinlan, Wei Lu
HBTM: A Heartbeat-based Behavior Detection Mechanism for POSIX Threads and OpenMP Applications. CoRR (2015)
Chunhua Liao, Pei-Hung Lin, Daniel J. Quinlan, Yue Zhao, Xipeng Shen
Enhancing domain specific language implementations through ontology. WOLFHPC@SC (2015)
Yonghong Yan, Pei-Hung Lin, Chunhua Liao, Bronis R. de Supinski, Daniel J. Quinlan
Supporting multiple accelerators in high-level programming models. PMAM@PPoPP (2015)
Pei-Hung Lin, Chunhua Liao, Daniel J. Quinlan, Stephen M. Guzik
Experiences of Using the OpenMP Accelerator Model to Port DOE Stencil Applications. IWOMP (2015)
Jacob Lidman, Sally A. McKee, Daniel J. Quinlan, Chunhua Liao
An Automated Performance-Aware Approach to Reliability Transformations. Euro-Par Workshops (1) (2014)
Chunhua Liao, Yonghong Yan, Bronis R. de Supinski, Daniel J. Quinlan, Barbara M. Chapman
Early Experiences with the OpenMP Accelerator Model. IWOMP (2013)
Xianfeng Zhang, Chunhua Liao, Jonathan Li, Quan Sun
Fractional vegetation cover estimation in arid and semi-arid environments using HJ-1 satellite hyperspectral data. Int. J. Appl. Earth Obs. Geoinformation 21 (2013)
Xianfeng Zhang, Chunhua Liao, Yu Liu, Jonathan Li
An IconMap-based exploratory analytical approach for multivariate geospatial data. Sci. China Inf. Sci. 56 (1) (2013)
Hongyi Ma, Steve Diersen, Liqiang Wang, Chunhua Liao, Daniel J. Quinlan, Zijiang Yang
Symbolic Analysis of Concurrency Errors in OpenMP Programs. ICPP (2013)
Hongyi Ma, Qichang Chen, Liqiang Wang, Chunhua Liao, Daniel J. Quinlan
An OpenMP Analyzer for Detecting Concurrency Errors. ICPP Workshops (2012)
Shah Mohammad Faizur Rahman, Jichi Guo, Akshatha Bhat, Carlos D. Garcia, Majedul Haque Sujon, Qing Yi, Chunhua Liao, Daniel J. Quinlan
Studying the impact of application-level optimizations on the power consumption of multi-core architectures. Conf. Computing Frontiers (2012)
Jacob Lidman, Daniel J. Quinlan, Chunhua Liao, Sally A. McKee
ROSE: : FTTransform - A source-to-source translation framework for exascale fault-tolerance research. DSN Workshops (2012)
Sara Royuela, Alejandro Duran, Chunhua Liao, Daniel J. Quinlan
Auto-scoping for OpenMP Tasks. IWOMP (2012)
Ananta Tiwari, Jeffrey K. Hollingsworth, Chun Chen, Mary W. Hall, Chunhua Liao, Daniel J. Quinlan, Jacqueline Chame
Auto-tuning full applications: A case study. Int. J. High Perform. Comput. Appl. 25 (3) (2011)
Chunhua Liao, Daniel J. Quinlan, Thomas Panas, Bronis R. de Supinski
A ROSE-Based OpenMP 3.0 Research Compiler Supporting Multiple Runtime Libraries. IWOMP (2010)
Chunhua Liao, Daniel J. Quinlan, Jeremiah Willcock, Thomas Panas
Semantic-Aware Automatic Parallelization of Modern Applications Using High-Level Abstractions. Int. J. Parallel Program. 38 (5-6) (2010)
Chunhua Liao, Daniel J. Quinlan, Richard W. Vuduc, Thomas Panas
Effective Source-to-Source Outlining to Support Whole Program Empirical Optimization. LCPC (2009)
Chunhua Liao, Daniel J. Quinlan, Jeremiah Willcock, Thomas Panas
Extending Automatic Parallelization to Optimize High-Level Abstractions for Multicore. IWOMP (2009)
Chunhua Liao, Oscar R. Hernandez, Barbara M. Chapman, Wenguang Chen, Weimin Zheng
OpenUH: an optimizing, portable OpenMP compiler. Concurr. Comput. Pract. Exp. 19 (18) (2007)
Chunhua Liao, Barbara M. Chapman
Invited Paper: A Compile-time Cost Model for OpenMP. IPDPS (2007)
Chunhua Liao, Zhenying Liu, Lei Huang, Barbara M. Chapman
Evaluating OpenMP on Chip MultiThreading Platforms. IWOMP (2005)
Oscar R. Hernandez, Chunhua Liao, Barbara M. Chapman
A Tool to Display Array Access Patterns in OpenMP Programs. PARA (2004)

Chunhua Liao.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Chunhua Liao