Chunhua Liao

According to our database, Chunhua Liao authored at least 98 papers between 2004 and 2024.

Collaborative distances:

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

2024

Bilateral transformer 3D planar recovery.

Fei Ren, Chunhua Liao, Zhina Xie

Graph. Model., 2024

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.

Jing Geng, Junwei Lv, Jie Pei, Chunhua Liao, Qiuyuan Tan, Tianxing Wang, Huajun Fang, Li Wang

Comput. Electron. Agric., 2024

Developing an Interactive OpenMP Programming Book with Large Language Models.

Xinyao Yi, Anjia Wang, Yonghong Yan, Chunhua Liao

Proceedings of the Advancing OpenMP for Future Accelerators, 2024

Finding Equivalent OpenMP Fortran and C/C++ Code Snippets Using Large Language Models.

Naveed Sekender, Pei-Hung Lin, Chunhua Liao

Proceedings of the Advancing OpenMP for Future Accelerators, 2024

Enhancing Performance Through Control-Flow Unmerging and Loop Unrolling on GPUs.

Alnis Murtovi, Giorgis Georgakoudis, Konstantinos Parasyris, Chunhua Liao, Ignacio Laguna, Bernhard Steffen

Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization, 2024

2023

Crop NDVI time series construction by fusing Sentinel-1, Sentinel-2, and environmental data with an ensemble-based framework.

Dairong Chen, Haoxuan Hu, Chunhua Liao, Junyan Ye, Wenhao Bao, Jinglin Mo, Yue Wu, Taifeng Dong, Hong Fan, Jie Pei

Comput. Electron. Agric., December, 2023

Corn Phenology Detection Using the Derivative Dynamic Time Warping Method and Sentinel-2 Time Series.

Junyan Ye, Wenhao Bao, Chunhua Liao, Dairong Chen, Haoxuan Hu

Remote. Sens., July, 2023

MS4D-Net: Multitask-Based Semi-Supervised Semantic Segmentation Framework with Perturbed Dual Mean Teachers for Building Damage Assessment from High-Resolution Remote Sensing Imagery.

Yongjun He, Jinfei Wang, Chunhua Liao, Xin Zhou, Bo Shan

Remote. Sens., January, 2023

Understanding the Spatial-Temporal Characteristics of Land Subsidence in Shenzhen under Rapid Urbanization Based on MT-InSAR.

Min Sun, Yanan Du, Qingyao Liu, Guangcai Feng, Xing Peng, Chunhua Liao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Towards Zero Memory Footprint Spiking Neural Network Training.

Bin Lei, Sheng Lin, Pei-Hung Lin, Chunhua Liao, Caiwen Ding

CoRR, 2023

Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought.

Bin Lei, Pei-Hung Lin, Chunhua Liao, Caiwen Ding

CoRR, 2023

DataRaceBench V1.4.1 and DataRaceBench-ML V0.1: Benchmark Suites for Data Race Detection.

Le Chen, Wenhao Wu, Stephen F. Siegel, Pei-Hung Lin, Chunhua Liao

CoRR, 2023

Creating a Dataset for High-Performance Computing Code Translation: A Bridge Between HPC Fortran and C++.

Bin Lei, Caiwen Ding, Le Chen, Pei-Hung Lin, Chunhua Liao

CoRR, 2023

Structured Thoughts Automaton: First Formalized Execution Model for Auto-Regressive Language Models.

Tristan Vanderbruggen, Chunhua Liao, Peter Pirkelbauer, Pei-Hung Lin

CoRR, 2023

Machine Learning-Driven Adaptive OpenMP For Portable Performance on Heterogeneous Systems.

Giorgis Georgakoudis, Konstantinos Parasyris, Chunhua Liao, David Beckingsale, Todd Gamblin, Bronis R. de Supinski

CoRR, 2023

HPC-GPT: Integrating Large Language Model for High-Performance Computing.

Xianzhong Ding, Le Chen, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Zhen Xie, Alberto Cerpa, Wan Du

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

Data Race Detection Using Large Language Models.

Le Chen, Xianzhong Ding, Murali Emani, Tristan Vanderbruggen, Pei-Hung Lin, Chunhua Liao

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

LM4HPC: Towards Effective Language Model Application in High-Performance Computing.

Le Chen, Pei-Hung Lin, Tristan Vanderbruggen, Chunhua Liao, Murali Emani, Bronis R. de Supinski

Proceedings of the OpenMP: Advanced Task-Based, Device and Compiler Programming, 2023

Creating a Dataset for High-Performance Computing Code Translation using LLMs: A Bridge Between OpenMP Fortran and C++.

Bin Lei, Caiwen Ding, Le Chen, Pei-Hung Lin, Chunhua Liao

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

Early Crop Classification Based on Historical Annual Crop Inventory Data and Remote Sensing Data.

Yue Wu, Chunhua Liao

Proceedings of the 11th International Conference on Agro-Geoinformatics, 2023

2022

Enhancement of Urban Floodwater Mapping From Aerial Imagery With Dense Shadows via Semisupervised Learning.

Yongjun He, Jinfei Wang, Ying Zhang, Chunhua Liao

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Automatic inspection of program state in an uncooperative environment.

José Wesley de Souza Magalhães, Chunhua Liao, Fernando Magno Quintão Pereira

Softw. Pract. Exp., 2022

ClassHyPer: ClassMix-Based Hybrid Perturbations for Deep Semi-Supervised Semantic Segmentation of Remote Sensing Imagery.

Yongjun He, Jinfei Wang, Chunhua Liao, Bo Shan, Xin Zhou

Remote. Sens., 2022

Towards Seamless Management of AI Models in High-Performance Computing.

Sixing Yu, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Xipeng Shen, Ali Jannesari

CoRR, 2022

XUnified: A Framework for Guiding Optimal Use of GPU Unified Memory.

Hailu Xu, Pei-Hung Lin, Murali Emani, Liting Hu, Chunhua Liao

IEEE Access, 2022

Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study.

Pei-Hung Lin, Chunhua Liao, Winson Chen, Tristan Vanderbruggen, Murali Emani, Hailu Xu

Proceedings of the Fourth International Conference on Transdisciplinary AI, 2022

Generating and Analyzing Program Call Graphs using Ontology.

Ethan Dorta, Yonghong Yan, Chunhua Liao

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

Modeling optimization of stencil computations via domain-level properties.

Brandon Nesterenko, Qing Yi, Pei-Hung Lin, Chunhua Liao, Brandon Runnels

Proceedings of the PMAM@PPoPP 2022: Proceedings of the Thirteenth International Workshop on Programming Models and Applications for Multicores and Manycores, Virtual Event / Seoul, Republic of Korea, April 2, 2022

Extending OpenMP to Support Automated Function Specialization Across Translation Units.

Giorgis Georgakoudis, Thomas R. W. Scogland, Chunhua Liao, Bronis R. de Supinski

Proceedings of the OpenMP in a Modern World: From Multi-device Support to Meta Programming, 2022

Interactive NLU-Powered Ontology-Based Workflow Synthesis for FAIR Support of HPC.

Zifan Nan, Mithil Dave, Xipeng Shen, Chunhua Liao, Tristan Vanderbruggen, Pei-Hung Lin, Murali Emani

Proceedings of the IEEE/ACM International Workshop on HPC User Support Tools, 2022

Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines.

Patrick J. Flynn, Tristan Vanderbruggen, Chunhua Liao, Pei-Hung Lin, Murali Emani, Xipeng Shen

Proceedings of the Software Architecture. ECSA 2022 Tracks and Workshops, 2022

Early Experience with Transformer-Based Similarity Analysis for DataRaceBench.

Winson Chen, Tristan Vanderbruggen, Pei-Hung Lin, Chunhua Liao, Murali Emani

Proceedings of the Sixth IEEE/ACM International Workshop on Software Correctness for HPC Applications, 2022

2021

Crop Height Estimation of Corn from Multi-Year RADARSAT-2 Polarimetric Observables Using Machine Learning.

Qinghua Xie, Jinfei Wang, Juan M. Lopez-Sanchez, Xing Peng, Chunhua Liao, Jiali Shang, Jianjun Zhu, Haiqiang Fu, J. David Ballester-Berman

Remote. Sens., 2021

Crop Monitoring and Classification Using Polarimetric RADARSAT-2 Time-Series Data Across Growing Season: A Case Study in Southwestern Ontario, Canada.

Qinghua Xie, Kunyu Lai, Jinfei Wang, Juan M. Lopez-Sanchez, Jiali Shang, Chunhua Liao, Jianjun Zhu, Haiqiang Fu, Xing Peng

Remote. Sens., 2021

Extraction of Areas of Rice False Smut Infection Using UAV Hyperspectral Data.

Gangqiang An, Minfeng Xing, Binbin He, Haiqi Kang, Jiali Shang, Chunhua Liao, Xiaodong Huang, Hongguo Zhang

Remote. Sens., 2021

Extending OpenMP for Machine Learning-Driven Adaptation.

Chunhua Liao, Anjia Wang, Giorgis Georgakoudis, Bronis R. de Supinski, Yonghong Yan, David Beckingsale, Todd Gamblin

Proceedings of the Accelerator Programming Using Directives - 8th International Workshop, 2021

RDS: a cloud-based metaservice for detecting data races in parallel programs.

Yaying Shi, Anjia Wang, Yonghong Yan, Chunhua Liao

Proceedings of the UCC '21: 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing, Leicester, United Kingdom, December 6, 2021

HPCFAIR: Enabling FAIR AI for HPC Applications.

Gaurav Verma, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Xipeng Shen, Barbara M. Chapman

Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

HPC Ontology: Towards a Unified Ontology for Managing Training Datasets and AI Models for High-Performance Computing.

Chunhua Liao, Pei-Hung Lin, Gaurav Verma, Tristan Vanderbruggen, Murali Emani, Zifan Nan, Xipeng Shen

Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

CUDAMicroBench: Microbenchmarks to Assist CUDA Performance Programming.

Xinyao Yi, David Stokes, Yonghong Yan, Chunhua Liao

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

High-Precision Evaluation of Both Static and Dynamic Tools using DataRaceBench.

Pei-Hung Lin, Chunhua Liao

Proceedings of the 5th IEEE/ACM International Workshop on Software Correctness for HPC Applications, 2021

Deep NLP-based co-evolvement for synthesizing code analysis from natural language.

Zifan Nan, Hui Guan, Xipeng Shen, Chunhua Liao

Proceedings of the CC '21: 30th ACM SIGPLAN International Conference on Compiler Construction, 2021

2020

A New Model for Transfer Learning-Based Mapping of Burn Severity.

Zhong Zheng, Jinfei Wang, Bo Shan, Yongjun He, Chunhua Liao, Yanghua Gao, Shiqi Yang

Remote. Sens., 2020

Using UAV-Based SOPC Derived LAI and SAFY Model for Biomass and Yield Estimation of Winter Wheat.

Yang Song, Jinfei Wang, Jiali Shang, Chunhua Liao

Remote. Sens., 2020

Synergistic Use of Multi-Temporal RADARSAT-2 and VENµS Data for Crop Classification Based on 1D Convolutional Neural Network.

Chunhua Liao, Jinfei Wang, Qinghua Xie, Ayman Al Baz, Xiaodong Huang, Jiali Shang, Yongjun He

Remote. Sens., 2020

Using Machine Learning for Estimating Rice Chlorophyll Content from In Situ Hyperspectral Data.

Gangqiang An, Minfeng Xing, Binbin He, Chunhua Liao, Xiaodong Huang, Jiali Shang, Haiqi Kang

Remote. Sens., 2020

Enhancing DataRaceBench for Evaluating Data Race Detection Tools.

Gaurav Verma, Yaying Shi, Chunhua Liao, Barbara M. Chapman, Yonghong Yan

Proceedings of the 4th IEEE/ACM International Workshop on Software Correctness for HPC Applications, 2020

Extending FreeCompilerCamp.org as an Online Self-Learning Platform for Compiler Development.

Justin Gosselin, Anjia Wang, Peter Pirkelbauer, Chunhua Liao, Yonghong Yan, Damian Dechev

Proceedings of the IEEE/ACM Workshop on Education for High-Performance Computing, 2020

XPlacer: Automatic Analysis of Data Access Patterns on Heterogeneous CPU/GPU Systems.

Peter Pirkelbauer, Pei-Hung Lin, Tristan Vanderbruggen, Chunhua Liao

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

Estimating Chlorophyll Content of Rice Based on UAV-Based Hyperspectral Imagery and Continuous Wavelet Transform.

Gangqiang An, Minfeng Xing, Chunhua Liao, Binbin He

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

AutoParBench: a unified test framework for OpenMP-based parallelizers.

Gleison Souza Diniz Mendonca, Chunhua Liao, Fernando Magno Quintão Pereira

Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

2019

On the Use of Neumann Decomposition for Crop Classification Using Multi-Temporal RADARSAT-2 Polarimetric SAR Data.

Qinghua Xie, Jinfei Wang, Chunhua Liao, Jiali Shang, Juan M. Lopez-Sanchez, Haiqiang Fu, Xiuguo Liu

Remote. Sens., 2019

Machine Learning Guided Optimal Use of GPU Unified Memory.

Hailu Xu, Murali Emani, Pei-Hung Lin, Liting Hu, Chunhua Liao

Proceedings of the 2019 IEEE/ACM Workshop on Memory Centric High Performance Computing, 2019

Lightning Talks of EduHPC 2019.

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

Proceedings of the 2019 IEEE/ACM Workshop on Education for High-Performance Computing, 2019

Exploring Regression of Data Race Detection Tools Using DataRaceBench.

Pei-Hung Lin, Chunhua Liao, Markus Schordan, Ian Karlin

Proceedings of the 2019 IEEE/ACM 3rd International Workshop on Software Correctness for HPC Applications (Correctness), 2019

Ompparser: A Standalone and Unified OpenMP Parser.

Anjia Wang, Yaying Shi, Xinyao Yi, Yonghong Yan, Chunhua Liao, Bronis R. de Supinski

Proceedings of the OpenMP: Conquering the Full Hardware Spectrum, 2019

Extending OpenMP Metadirective Semantics for Runtime Adaptation.

Yonghong Yan, Anjia Wang, Chunhua Liao, Thomas R. W. Scogland, Bronis R. de Supinski

Proceedings of the OpenMP: Conquering the Full Hardware Spectrum, 2019

Opera: Similarity Analysis on Data Access Patterns of OpenMP Tasks to Optimize Task Affinity.

Jie Ren, Chunhua Liao, Dong Li

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

Corn Biomass Estimation Using Sentinel-2 and VENµS Data Based on A Simple Light Use Efficiency Method.

Chunhua Liao, Jinfei Wang, Bo Shan

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Using Polyhedral Analysis to Verify OpenMP Applications are Data Race Free.

Fangke Ye, Markus Schordan, Chunhua Liao, Pei-Hung Lin, Ian Karlin, Vivek Sarkar

Proceedings of the 2nd IEEE/ACM International Workshop on Software Correctness for HPC Applications, 2018

Data Placement Optimization in GPU Memory Hierarchy using Predictive Modeling.

Larisa Stoltzfus, Murali Emani, Pei-Hung Lin, Chunhua Liao

Proceedings of the Workshop on Memory Centric High Performance Computing, 2018

Is Data Placement Optimization Still Relevant on Newer GPUs?

Md Abdullah Shahneous Bari, Larisa Stoltzfus, Pei-Hung Lin, Chunhua Liao, Murali Emani, Barbara M. Chapman

Proceedings of the 2018 IEEE/ACM Performance Modeling, 2018

Bridging the gap between deep learning and sparse matrix format selection.

Yue Zhao, Jiajia Li, Chunhua Liao, Xipeng Shen

Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2018

A Semantics-Driven Approach to Improving DataRaceBench's OpenMP Standard Coverage.

Chunhua Liao, Pei-Hung Lin, Markus Schordan, Ian Karlin

Proceedings of the Evolving OpenMP for Evolving Architectures, 2018

Runtime and Memory Evaluation of Data Race Detection Tools.

Pei-Hung Lin, Chunhua Liao, Markus Schordan, Ian Karlin

Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Verification, 2018

2017

A Spatio-Temporal Data Fusion Model for Generating NDVI Time Series in Heterogeneous Regions.

Chunhua Liao, Jinfei Wang, Ian Pritchard, Jiangui Liu, Jiali Shang

Remote. Sens., 2017

DataRaceBench: a benchmark suite for systematic evaluation of data race detection tools.

Chunhua Liao, Pei-Hung Lin, Joshua Asplund, Markus Schordan, Ian Karlin

Proceedings of the International Conference for High Performance Computing, 2017

POSTER: An Infrastructure for HPC Knowledge Sharing and Reuse.

Yue Zhao, Chunhua Liao, Xipeng Shen

Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2017

Directive-based tile abstraction to distribute loops on accelerators.

Tristan Vanderbruggen, John Cavazos, Chunhua Liao, Daniel J. Quinlan

Proceedings of the General Purpose GPUs, 2017

POSTER: Bridging the Gap Between Deep Learning and Sparse Matrix Format Selection.

Yue Zhao, Jiajia Li, Chunhua Liao, Xipeng Shen

Proceedings of the 26th International Conference on Parallel Architectures and Compilation Techniques, 2017

2016

Automatically Optimizing Stencil Computations on Many-Core NUMA Architectures.

Pei-Hung Lin, Qing Yi, Daniel J. Quinlan, Chunhua Liao, Yongqing Yan

Proceedings of the Languages and Compilers for Parallel Computing, 2016

A Proposal to OpenMP for Addressing the CPU Oversubscription Challenge.

Yonghong Yan, Jeff R. Hammond, Chunhua Liao, Alexandre E. Eichenberger

Proceedings of the OpenMP: Memory, Devices, and Tasks, 2016

Evaluation of spatio-temporal data fusion methods for generating NDVI time series in cropland areas.

Chunhua Liao, Jinfei Wang

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Pragma-Controlled Source-to-Source Code Transformations for Robust Application Execution.

Pedro C. Diniz, Chunhua Liao, Daniel J. Quinlan, Robert F. Lucas

Proceedings of the Euro-Par 2016: Parallel Processing Workshops, 2016

Towards Ontology-Based Program Analysis.

Yue Zhao, Guoyang Chen, Chunhua Liao, Xipeng Shen

Proceedings of the 30th European Conference on Object-Oriented Programming, 2016

2015

HBTM: A Heartbeat-based Behavior Detection Mechanism for POSIX Threads and OpenMP Applications.

Weidong Wang, Chunhua Liao, Liqiang Wang, Daniel J. Quinlan, Wei Lu

CoRR, 2015

Enhancing domain specific language implementations through ontology.

Chunhua Liao, Pei-Hung Lin, Daniel J. Quinlan, Yue Zhao, Xipeng Shen

Proceedings of the 5th International Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing, 2015

Supporting multiple accelerators in high-level programming models.

Yonghong Yan, Pei-Hung Lin, Chunhua Liao, Bronis R. de Supinski, Daniel J. Quinlan

Proceedings of the Sixth International Workshop on Programming Models and Applications for Multicores and Manycores, 2015

Experiences of Using the OpenMP Accelerator Model to Port DOE Stencil Applications.

Pei-Hung Lin, Chunhua Liao, Daniel J. Quinlan, Stephen M. Guzik

Proceedings of the OpenMP: Heterogenous Execution and Data Movements, 2015

2014

An Automated Performance-Aware Approach to Reliability Transformations.

Jacob Lidman, Sally A. McKee, Daniel J. Quinlan, Chunhua Liao

Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014

2013

An IconMap-based exploratory analytical approach for multivariate geospatial data.

Xianfeng Zhang, Chunhua Liao, Yu Liu, Jonathan Li

Sci. China Inf. Sci., 2013

Fractional vegetation cover estimation in arid and semi-arid environments using HJ-1 satellite hyperspectral data.

Xianfeng Zhang, Chunhua Liao, Jonathan Li, Quan Sun

Int. J. Appl. Earth Obs. Geoinformation, 2013

Early Experiences with the OpenMP Accelerator Model.

Chunhua Liao, Yonghong Yan, Bronis R. de Supinski, Daniel J. Quinlan, Barbara M. Chapman

Proceedings of the OpenMP in the Era of Low Power Devices and Accelerators, 2013

Symbolic Analysis of Concurrency Errors in OpenMP Programs.

Hongyi Ma, Steve Diersen, Liqiang Wang, Chunhua Liao, Daniel J. Quinlan, Zijiang Yang

Proceedings of the 42nd International Conference on Parallel Processing, 2013

2012

Auto-scoping for OpenMP Tasks.

Sara Royuela, Alejandro Duran, Chunhua Liao, Daniel J. Quinlan

Proceedings of the OpenMP in a Heterogeneous World - 8th International Workshop on OpenMP, 2012

An OpenMP Analyzer for Detecting Concurrency Errors.

Hongyi Ma, Qichang Chen, Liqiang Wang, Chunhua Liao, Daniel J. Quinlan

Proceedings of the 41st International Conference on Parallel Processing Workshops, 2012

ROSE: : FTTransform - A source-to-source translation framework for exascale fault-tolerance research.

Jacob Lidman, Daniel J. Quinlan, Chunhua Liao, Sally A. McKee

Proceedings of the IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2012

Studying the impact of application-level optimizations on the power consumption of multi-core architectures.

Shah Mohammad Faizur Rahman, Jichi Guo, Akshatha Bhat, Carlos D. Garcia, Majedul Haque Sujon, Qing Yi, Chunhua Liao, Daniel J. Quinlan

Proceedings of the Computing Frontiers Conference, CF'12, 2012

2011

Auto-tuning full applications: A case study.

Ananta Tiwari, Jeffrey K. Hollingsworth, Chun Chen, Mary W. Hall, Chunhua Liao, Daniel J. Quinlan, Jacqueline Chame

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

2010

Semantic-Aware Automatic Parallelization of Modern Applications Using High-Level Abstractions.

Chunhua Liao, Daniel J. Quinlan, Jeremiah Willcock, Thomas Panas

Int. J. Parallel Program., 2010

A ROSE-Based OpenMP 3.0 Research Compiler Supporting Multiple Runtime Libraries.

Chunhua Liao, Daniel J. Quinlan, Thomas Panas, Bronis R. de Supinski

Proceedings of the Beyond Loop Level Parallelism in OpenMP: Accelerators, 2010

2009

Effective Source-to-Source Outlining to Support Whole Program Empirical Optimization.

Chunhua Liao, Daniel J. Quinlan, Richard W. Vuduc, Thomas Panas

Proceedings of the Languages and Compilers for Parallel Computing, 2009

Extending Automatic Parallelization to Optimize High-Level Abstractions for Multicore.

Chunhua Liao, Daniel J. Quinlan, Jeremiah Willcock, Thomas Panas

Proceedings of the Evolving OpenMP in an Age of Extreme Parallelism, 2009

2007

OpenUH: an optimizing, portable OpenMP compiler.

Chunhua Liao, Oscar R. Hernandez, Barbara M. Chapman, Wenguang Chen, Weimin Zheng

Concurr. Comput. Pract. Exp., 2007

Invited Paper: A Compile-time Cost Model for OpenMP.

Chunhua Liao, Barbara M. Chapman

Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

2005

Evaluating OpenMP on Chip MultiThreading Platforms.

Chunhua Liao, Zhenying Liu, Lei Huang, Barbara M. Chapman

Proceedings of the OpenMP Shared Memory Parallel Programming - International Workshops, 2005

2004

Dragon: A Static and Dynamic Tool for OpenMP.

Oscar R. Hernandez, Chunhua Liao, Barbara M. Chapman

Proceedings of the Shared Memory Parallel Programming with OpenMP, 2004

A Tool to Display Array Access Patterns in OpenMP Programs.

Oscar R. Hernandez, Chunhua Liao, Barbara M. Chapman

Proceedings of the Applied Parallel Computing, 2004