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2020 – today
- 2024
[j24]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: 108905 (2024)- [j23]Fei Ren, Chunhua Liao, Zhina Xie:
Bilateral transformer 3D planar recovery. Graph. Model. 134: 101221 (2024) - [c66]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: 106-118 - [c65]Naveed Sekender, Pei-Hung Lin, Chunhua Liao:
Finding Equivalent OpenMP Fortran and C/C++ Code Snippets Using Large Language Models. IWOMP 2024: 143-160 - [c64]Xinyao Yi, Anjia Wang, Yonghong Yan, Chunhua Liao:
Developing an Interactive OpenMP Programming Book with Large Language Models. IWOMP 2024: 176-194 - [i14]Xinyao Yi, Anjia Wang, Yonghong Yan, Chunhua Liao:
Developing an Interactive OpenMP Programming Book with Large Language Models. CoRR abs/2409.09296 (2024) - 2023
- [j22]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: 108388 (2023) - [j21]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): 478 (2023) - [j20]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): 3456 (2023) - [j19]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: 4153-4166 (2023) - [c63]Yue Wu, Chunhua Liao:
Early Crop Classification Based on Historical Annual Crop Inventory Data and Remote Sensing Data. Agro-Geoinformatics 2023: 1-5 - [c62]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: 1-7 - [c61]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: 18-33 - [c60]Le Chen, Xianzhong Ding, Murali Emani, Tristan Vanderbruggen, Pei-Hung Lin, Chunhua Liao:
Data Race Detection Using Large Language Models. SC Workshops 2023: 215-223 - [c59]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: 951-960 - [i13]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 abs/2303.08873 (2023) - [i12]Tristan Vanderbruggen, Chunhua Liao, Peter Pirkelbauer, Pei-Hung Lin:
Structured Thoughts Automaton: First Formalized Execution Model for Auto-Regressive Language Models. CoRR abs/2306.10196 (2023) - [i11]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 abs/2306.14979 (2023) - [i10]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 abs/2307.07686 (2023) - [i9]Le Chen, Xianzhong Ding, Murali Emani, Tristan Vanderbruggen, Pei-Hung Lin, Chunhua Liao:
Data Race Detection Using Large Language Models. CoRR abs/2308.07505 (2023) - [i8]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 abs/2308.08473 (2023) - [i7]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 abs/2308.08614 (2023) - [i6]Bin Lei, Sheng Lin, Pei-Hung Lin, Chunhua Liao, Caiwen Ding:
Towards Zero Memory Footprint Spiking Neural Network Training. CoRR abs/2308.08649 (2023) - [i5]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 abs/2311.12833 (2023) - 2022
- [j18]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: 82614-82625 (2022) - [j17]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): 879 (2022) - [j16]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): 2727-2758 (2022) - [j15]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: 9086-9101 (2022) - [c58]Winson Chen, Tristan Vanderbruggen, Pei-Hung Lin, Chunhua Liao, Murali Emani:
Early Experience with Transformer-Based Similarity Analysis for DataRaceBench. Correctness@SC 2022: 45-53 - [c57]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: 402-417 - [c56]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: 29-40 - [c55]Giorgis Georgakoudis, Thomas R. W. Scogland, Chunhua Liao, Bronis R. de Supinski:
Extending OpenMP to Support Automated Function Specialization Across Translation Units. IWOMP 2022: 159-173 - [c54]Brandon Nesterenko, Qing Yi, Pei-Hung Lin, Chunhua Liao, Brandon Runnels:
Modeling optimization of stencil computations via domain-level properties. PMAM@PPoPP 2022: 35-44 - [c53]Ethan Dorta, Yonghong Yan, Chunhua Liao:
Generating and Analyzing Program Call Graphs using Ontology. ProTools@SC 2022: 11-20 - [c52]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: 128-134 - [i4]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 abs/2208.05596 (2022) - [i3]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 abs/2211.02092 (2022) - [i2]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 abs/2212.06352 (2022) - 2021
- [j14]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): 392 (2021) - [j13]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): 1394 (2021) - [j12]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): 3185 (2021) - [c51]Zifan Nan, Hui Guan, Xipeng Shen, Chunhua Liao:
Deep NLP-based co-evolvement for synthesizing code analysis from natural language. CC 2021: 141-152 - [c50]Pei-Hung Lin, Chunhua Liao:
High-Precision Evaluation of Both Static and Dynamic Tools using DataRaceBench. Correctness@SC 2021: 1-8 - [c49]Xinyao Yi, David Stokes, Yonghong Yan, Chunhua Liao:
CUDAMicroBench: Microbenchmarks to Assist CUDA Performance Programming. IPDPS Workshops 2021: 397-406 - [c48]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: 58-68 - [c47]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: 69-80 - [c46]Yaying Shi, Anjia Wang, Yonghong Yan, Chunhua Liao:
RDS: a cloud-based metaservice for detecting data races in parallel programs. UCC 2021: 18:1-18:10 - [c45]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: 49-69 - 2020
- [j11]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): 708 (2020) - [j10]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): 832 (2020) - [j9]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): 2378 (2020) - [j8]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): 3104 (2020) - [c44]Gleison Souza Diniz Mendonca, Chunhua Liao, Fernando Magno Quintão Pereira:
AutoParBench: a unified test framework for OpenMP-based parallelizers. ICS 2020: 28:1-28:10 - [c43]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: 5270-5273 - [c42]Peter Pirkelbauer, Pei-Hung Lin, Tristan Vanderbruggen, Chunhua Liao:
XPlacer: Automatic Analysis of Data Access Patterns on Heterogeneous CPU/GPU Systems. IPDPS 2020: 997-1007 - [c41]Gaurav Verma, Yaying Shi, Chunhua Liao, Barbara M. Chapman, Yonghong Yan:
Enhancing DataRaceBench for Evaluating Data Race Detection Tools. CORRECTNESS@SC 2020: 20-30 - [c40]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: 43-52
2010 – 2019
- 2019
- [j7]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): 776 (2019) - [c39]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: 7294-7297 - [c38]Jie Ren, Chunhua Liao, Dong Li:
Opera: Similarity Analysis on Data Access Patterns of OpenMP Tasks to Optimize Task Affinity. IPDPS Workshops 2019: 382-386 - [c37]Anjia Wang, Yaying Shi, Xinyao Yi, Yonghong Yan, Chunhua Liao, Bronis R. de Supinski:
Ompparser: A Standalone and Unified OpenMP Parser. IWOMP 2019: 140-152 - [c36]Yonghong Yan, Anjia Wang, Chunhua Liao, Thomas R. W. Scogland, Bronis R. de Supinski:
Extending OpenMP Metadirective Semantics for Runtime Adaptation. IWOMP 2019: 201-214 - [c35]Pei-Hung Lin, Chunhua Liao, Markus Schordan, Ian Karlin:
Exploring Regression of Data Race Detection Tools Using DataRaceBench. CORRECTNESS@SC 2019: 11-18 - [c34]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: 25-31 - [c33]Hailu Xu, Murali Emani, Pei-Hung Lin, Liting Hu, Chunhua Liao:
Machine Learning Guided Optimal Use of GPU Unified Memory. MCHPC@SC 2019: 64-70 - 2018
- [c32]Pei-Hung Lin, Chunhua Liao, Markus Schordan, Ian Karlin:
Runtime and Memory Evaluation of Data Race Detection Tools. ISoLA (2) 2018: 179-196 - [c31]Chunhua Liao, Pei-Hung Lin, Markus Schordan, Ian Karlin:
A Semantics-Driven Approach to Improving DataRaceBench's OpenMP Standard Coverage. IWOMP 2018: 189-202 - [c30]Yue Zhao, Jiajia Li, Chunhua Liao, Xipeng Shen:
Bridging the gap between deep learning and sparse matrix format selection. PPoPP 2018: 94-108 - [c29]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: 42-50 - [c28]Larisa Stoltzfus, Murali Emani, Pei-Hung Lin, Chunhua Liao:
Data Placement Optimization in GPU Memory Hierarchy using Predictive Modeling. MCHPC@SC 2018: 45-49 - [c27]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: 83-96 - 2017
- [j6]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): 1125 (2017) - [c26]Yue Zhao, Jiajia Li, Chunhua Liao, Xipeng Shen:
POSTER: Bridging the Gap Between Deep Learning and Sparse Matrix Format Selection. PACT 2017: 152-153 - [c25]Tristan Vanderbruggen, John Cavazos, Chunhua Liao, Daniel J. Quinlan:
Directive-based tile abstraction to distribute loops on accelerators. GPGPU@PPoPP 2017: 53-62 - [c24]Yue Zhao, Chunhua Liao, Xipeng Shen:
POSTER: An Infrastructure for HPC Knowledge Sharing and Reuse. PPoPP 2017: 461-462 - [c23]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: 11 - 2016
- [c22]Yue Zhao, Guoyang Chen, Chunhua Liao, Xipeng Shen:
Towards Ontology-Based Program Analysis. ECOOP 2016: 26:1-26:25 - [c21]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: 660-670 - [c20]Chunhua Liao, Jinfei Wang:
Evaluation of spatio-temporal data fusion methods for generating NDVI time series in cropland areas. IGARSS 2016: 2570-2573 - [c19]Yonghong Yan, Jeff R. Hammond, Chunhua Liao, Alexandre E. Eichenberger:
A Proposal to OpenMP for Addressing the CPU Oversubscription Challenge. IWOMP 2016: 187-202 - [c18]Pei-Hung Lin, Qing Yi, Daniel J. Quinlan, Chunhua Liao, Yongqing Yan:
Automatically Optimizing Stencil Computations on Many-Core NUMA Architectures. LCPC 2016: 137-152 - 2015
- [c17]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: 45-59 - [c16]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: 170-180 - [c15]Chunhua Liao, Pei-Hung Lin, Daniel J. Quinlan, Yue Zhao, Xipeng Shen:
Enhancing domain specific language implementations through ontology. WOLFHPC@SC 2015: 3:1-3:9 - [i1]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 abs/1512.00665 (2015) - 2014
- [c14]Jacob Lidman, Sally A. McKee, Daniel J. Quinlan, Chunhua Liao:
An Automated Performance-Aware Approach to Reliability Transformations. Euro-Par Workshops (1) 2014: 523-534 - 2013
- [j5]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: 506-512 (2013) - [j4]Xianfeng Zhang, Chunhua Liao, Yu Liu, Jonathan Li:
An IconMap-based exploratory analytical approach for multivariate geospatial data. Sci. China Inf. Sci. 56(1): 1-10 (2013) - [c13]Hongyi Ma, Steve Diersen, Liqiang Wang, Chunhua Liao, Daniel J. Quinlan, Zijiang Yang:
Symbolic Analysis of Concurrency Errors in OpenMP Programs. ICPP 2013: 510-516 - [c12]Chunhua Liao, Yonghong Yan, Bronis R. de Supinski, Daniel J. Quinlan, Barbara M. Chapman:
Early Experiences with the OpenMP Accelerator Model. IWOMP 2013: 84-98 - 2012
- [c11]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: 123-132 - [c10]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: 1-6 - [c9]Hongyi Ma, Qichang Chen, Liqiang Wang, Chunhua Liao, Daniel J. Quinlan:
An OpenMP Analyzer for Detecting Concurrency Errors. ICPP Workshops 2012: 590-591 - [c8]Sara Royuela, Alejandro Duran, Chunhua Liao, Daniel J. Quinlan:
Auto-scoping for OpenMP Tasks. IWOMP 2012: 29-43 - 2011
- [j3]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): 286-294 (2011) - 2010
- [j2]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): 361-378 (2010) - [c7]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: 15-28
2000 – 2009
- 2009
- [c6]Chunhua Liao, Daniel J. Quinlan, Jeremiah Willcock, Thomas Panas:
Extending Automatic Parallelization to Optimize High-Level Abstractions for Multicore. IWOMP 2009: 28-41 - [c5]Chunhua Liao, Daniel J. Quinlan, Richard W. Vuduc, Thomas Panas:
Effective Source-to-Source Outlining to Support Whole Program Empirical Optimization. LCPC 2009: 308-322 - 2007
- [j1]Chunhua Liao, Oscar R. Hernandez, Barbara M. Chapman, Wenguang Chen, Weimin Zheng:
OpenUH: an optimizing, portable OpenMP compiler. Concurr. Comput. Pract. Exp. 19(18): 2317-2332 (2007) - [c4]Chunhua Liao, Barbara M. Chapman:
Invited Paper: A Compile-time Cost Model for OpenMP. IPDPS 2007: 1-8 - 2005
- [c3]Chunhua Liao, Zhenying Liu, Lei Huang, Barbara M. Chapman:
Evaluating OpenMP on Chip MultiThreading Platforms. IWOMP 2005: 178-190 - 2004
- [c2]Oscar R. Hernandez, Chunhua Liao, Barbara M. Chapman:
A Tool to Display Array Access Patterns in OpenMP Programs. PARA 2004: 490-498 - [c1]Oscar R. Hernandez, Chunhua Liao, Barbara M. Chapman:
Dragon: A Static and Dynamic Tool for OpenMP. WOMPAT 2004: 53-66
Coauthor Index
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