The Rewriting of DataRaceBench Benchmark for OpenCL Program Validations. - Hsu, Chia-Chen; Huang, Chun-Lin; Lee, Chao-Lin; Lee, Jenq-Kuen; Lin, Pei-Hung (2024)

Finding Equivalent OpenMP Fortran and C/C++ Code Snippets Using Large Language Models. - Sekender, Naveed; Lin, Pei-Hung; Liao, Chunhua (2024)

Fortran2CPP: Automating Fortran-to-C++ Migration using LLMs via Multi-Turn Dialogue and Dual-Agent Integration. - Chen, Le; Lei, Bin; Zhou, Dunzhi; Lin, Pei-Hung; Liao, Chunhua; Ding, Caiwen; Jannesari, Ali (CoRR, 2024)

Creating a Dataset for High-Performance Computing Code Translation using LLMs: A Bridge Between OpenMP Fortran and C++. - Lei, Bin; Ding, Caiwen; Chen, Le; Lin, Pei-Hung; Liao, Chunhua (2023)

LM4HPC: Towards Effective Language Model Application in High-Performance Computing. - Chen, Le; Lin, Pei-Hung; Vanderbruggen, Tristan; Liao, Chunhua; Emani, Murali; Supinski, Bronis R. de (2023)

Data Race Detection Using Large Language Models. - Chen, Le; Ding, Xianzhong; Emani, Murali; Vanderbruggen, Tristan; Lin, Pei-Hung; Liao, Chunhua (2023)

HPC-GPT: Integrating Large Language Model for High-Performance Computing. - Ding, Xianzhong; Chen, Le; Emani, Murali; Liao, Chunhua; Lin, Pei-Hung; Vanderbruggen, Tristan; Xie, Zhen; Cerpa, Alberto; Du, Wan (2023)

Structured Thoughts Automaton: First Formalized Execution Model for Auto-Regressive Language Models. - Vanderbruggen, Tristan; Liao, Chunhua; Pirkelbauer, Peter; Lin, Pei-Hung (CoRR, 2023)

LM4HPC: Towards Effective Language Model Application in High-Performance Computing. - Chen, Le; Lin, Pei-Hung; Vanderbruggen, Tristan; Liao, Chunhua; Emani, Murali; Supinski, Bronis R. de (CoRR, 2023)

Creating a Dataset for High-Performance Computing Code Translation: A Bridge Between HPC Fortran and C++. - Lei, Bin; Ding, Caiwen; Chen, Le; Lin, Pei-Hung; Liao, Chunhua (CoRR, 2023)

Data Race Detection Using Large Language Models. - Chen, Le; Ding, Xianzhong; Emani, Murali; Vanderbruggen, Tristan; Lin, Pei-Hung; Liao, Chunhua (CoRR, 2023)

DataRaceBench V1.4.1 and DataRaceBench-ML V0.1: Benchmark Suites for Data Race Detection. - Chen, Le; Wu, Wenhao; Siegel, Stephen F.; Lin, Pei-Hung; Liao, Chunhua (CoRR, 2023)

Boosting Logical Reasoning in Large Language Models through a New Framework: The Graph of Thought. - Lei, Bin; Lin, Pei-Hung; Liao, Chunhua; Ding, Caiwen (CoRR, 2023)

Towards Zero Memory Footprint Spiking Neural Network Training. - Lei, Bin; Lin, Sheng; Lin, Pei-Hung; Liao, Chunhua; Ding, Caiwen (CoRR, 2023)

HPC-GPT: Integrating Large Language Model for High-Performance Computing. - Ding, Xianzhong; Chen, Le; Emani, Murali; Liao, Chunhua; Lin, Pei-Hung; Vanderbruggen, Tristan; Xie, Zhen; Cerpa, Alberto E.; Du, Wan (CoRR, 2023)

XUnified: A Framework for Guiding Optimal Use of GPU Unified Memory. - Xu, Hailu; Lin, Pei-Hung; Emani, Murali; Hu, Liting; Liao, Chunhua (IEEE Access, 2022)

Early Experience with Transformer-Based Similarity Analysis for DataRaceBench. - Chen, Winson; Vanderbruggen, Tristan; Lin, Pei-Hung; Liao, Chunhua; Emani, Murali (2022)

Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines. - Flynn, Patrick J.; Vanderbruggen, Tristan; Liao, Chunhua; Lin, Pei-Hung; Emani, Murali; Shen, Xipeng (2022)

Interactive NLU-Powered Ontology-Based Workflow Synthesis for FAIR Support of HPC. - Nan, Zifan; Dave, Mithil; Shen, Xipeng; Liao, Chunhua; Vanderbruggen, Tristan; Lin, Pei-Hung; Emani, Murali (2022)

Modeling optimization of stencil computations via domain-level properties. - Nesterenko, Brandon; Yi, Qing; Lin, Pei-Hung; Liao, Chunhua; Runnels, Brandon (2022)

Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study. - Lin, Pei-Hung; Liao, Chunhua; Chen, Winson; Vanderbruggen, Tristan; Emani, Murali; Xu, Hailu (2022)

Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines. - Flynn, Patrick J.; Vanderbruggen, Tristan; Liao, Chunhua; Lin, Pei-Hung; Emani, Murali; Shen, Xipeng (CoRR, 2022)

Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study. - Lin, Pei-Hung; Liao, Chunhua; Chen, Winson; Vanderbruggen, Tristan; Emani, Murali; Xu, Hailu (CoRR, 2022)

Towards Seamless Management of AI Models in High-Performance Computing. - Yu, Sixing; Emani, Murali; Liao, Chunhua; Lin, Pei-Hung; Vanderbruggen, Tristan; Shen, Xipeng; Jannesari, Ali (CoRR, 2022)

High-Precision Evaluation of Both Static and Dynamic Tools using DataRaceBench. - Lin, Pei-Hung; Liao, Chunhua (2021)

Does it matter?: OMPSanitizer: an impact analyzer of reported data races in OpenMP programs. - Wang, Wenwen; Lin, Pei-Hung (2021)

HPCFAIR: Enabling FAIR AI for HPC Applications. - Verma, Gaurav; Emani, Murali; Liao, Chunhua; Lin, Pei-Hung; Vanderbruggen, Tristan; Shen, Xipeng; Chapman, Barbara M. (2021)

HPC Ontology: Towards a Unified Ontology for Managing Training Datasets and AI Models for High-Performance Computing. - Liao, Chunhua; Lin, Pei-Hung; Verma, Gaurav; Vanderbruggen, Tristan; Emani, Murali; Nan, Zifan; Shen, Xipeng (2021)

Porting a 3D seismic modeling code (SW4) to CORAL machines. - Pankajakshan, Ramesh; Lin, Pei-Hung; Sjögreen, Björn (IBM J. Res. Dev., 2020)

XPlacer: Automatic Analysis of Data Access Patterns on Heterogeneous CPU/GPU Systems. - Pirkelbauer, Peter; Lin, Pei-Hung; Vanderbruggen, Tristan; Liao, Chunhua (2020)

Exploring Regression of Data Race Detection Tools Using DataRaceBench. - Lin, Pei-Hung; Liao, Chunhua; Schordan, Markus; Karlin, Ian (2019)

Preparation and optimization of a diverse workload for a large-scale heterogeneous system. - Karlin, Ian; Park, Yoonho; Supinski, Bronis R. de; Wang, Peng; Still, Bert; Beckingsale, David; Blake, Robert; Chen, Tong; Cong, Guojing; Costa, Carlos H. A.; Dahm, Johann; Domeniconi, Giacomo; et al. (2019)

Machine Learning Guided Optimal Use of GPU Unified Memory. - Xu, Hailu; Emani, Murali; Lin, Pei-Hung; Hu, Liting; Liao, Chunhua (2019)

Runtime and Memory Evaluation of Data Race Detection Tools. - Lin, Pei-Hung; Liao, Chunhua; Schordan, Markus; Karlin, Ian (2018)

A Semantics-Driven Approach to Improving DataRaceBench's OpenMP Standard Coverage. - Liao, Chunhua; Lin, Pei-Hung; Schordan, Markus; Karlin, Ian (2018)

Using Polyhedral Analysis to Verify OpenMP Applications are Data Race Free. - Ye, Fangke; Schordan, Markus; Liao, Chunhua; Lin, Pei-Hung; Karlin, Ian; Sarkar, Vivek (2018)

Data Placement Optimization in GPU Memory Hierarchy using Predictive Modeling. - Stoltzfus, Larisa; Emani, Murali; Lin, Pei-Hung; Liao, Chunhua (2018)

Is Data Placement Optimization Still Relevant on Newer GPUs? - Bari, Md Abdullah Shahneous; Stoltzfus, Larisa; Lin, Pei-Hung; Liao, Chunhua; Emani, Murali; Chapman, Barbara M. (2018)

DataRaceBench: a benchmark suite for systematic evaluation of data race detection tools. - Liao, Chunhua; Lin, Pei-Hung; Asplund, Joshua; Schordan, Markus; Karlin, Ian (2017)

Verifying the Floating-Point Computation Equivalence of Manually and Automatically Differentiated Code. - Schordan, Markus; Hückelheim, Jan; Lin, Pei-Hung; Menon, Harshitha (2017)

Transforming the multifluid PPM algorithm to run on GPUs. - Lin, Pei-Hung; Woodward, Paul R. (J. Parallel Distributed Comput., 2016)

Automatically Optimizing Stencil Computations on Many-Core NUMA Architectures. - Lin, Pei-Hung; Yi, Qing; Quinlan, Daniel J.; Liao, Chunhua; Yan, Yongqing (2016)

Experiences of Using the OpenMP Accelerator Model to Port DOE Stencil Applications. - Lin, Pei-Hung; Liao, Chunhua; Quinlan, Daniel J.; Guzik, Stephen M. (2015)

Supporting multiple accelerators in high-level programming models. - Yan, Yonghong; Lin, Pei-Hung; Liao, Chunhua; Supinski, Bronis R. de; Quinlan, Daniel J. (2015)

Enhancing domain specific language implementations through ontology. - Liao, Chunhua; Lin, Pei-Hung; Quinlan, Daniel J.; Zhao, Yue; Shen, Xipeng (2015)

CFD Builder: A Library Builder for Computational Fluid Dynamics. - Jayaraj, Jagan; Lin, Pei-Hung; Woodward, Paul R.; Yew, Pen-Chung (2014)

Verification of Polyhedral Optimizations with Constant Loop Bounds in Finite State Space Computations. - Schordan, Markus; Lin, Pei-Hung; Quinlan, Daniel J.; Pouchet, Louis-Noël (2014)

Revisiting loop fusion in the polyhedral framework. - Mehta, Sanyam; Lin, Pei-Hung; Yew, Pen-Chung (2014)

A Study of Performance Portability Using Piecewise-Parabolic Method (PPM) Gas Dynamics Applications. - Lin, Pei-Hung; Jayaraj, Jagan; Woodward, Paul R.; Yew, Pen-Chung (2012)

Boosting the performance of computational fluid dynamics codes for interactive supercomputing. - Woodward, Paul R.; Jayaraj, Jagan; Lin, Pei-Hung; Yew, Pen-Chung; Knox, Michael R.; Greensky, James B. S. G.; Nowatski, Anthony; Stoffels, Karl (2010)

First experience of compressible gas dynamics simulation on the Los Alamos roadrunner machine. - Woodward, Paul R.; Jayaraj, Jagan; Lin, Pei-Hung; Dai, William (Concurr. Comput. Pract. Exp., 2009)

Moving Scientific Codes to Multicore Microprocessor CPUs. - Woodward, Paul R.; Jayaraj, Jagan; Lin, Pei-Hung; Yew, Pen-Chung (Comput. Sci. Eng., 2008)