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

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

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

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

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

Verification of Polyhedral Optimizations with Constant Loop Bounds in Finite State Space Computations. - Markus Schordan; Pei-Hung Lin; Daniel J. Quinlan; Louis-Noël Pouchet (ISoLA (2), 2014)

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

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

Supporting multiple accelerators in high-level programming models. - Yonghong Yan 001; Pei-Hung Lin; Chunhua Liao; Bronis R. de Supinski; Daniel J. Quinlan (PMAM@PPoPP, 2015)

Enhancing domain specific language implementations through ontology. - Chunhua Liao; Pei-Hung Lin; Daniel J. Quinlan; Yue Zhao 011; Xipeng Shen (WOLFHPC@SC, 2015)

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

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

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

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

Runtime and Memory Evaluation of Data Race Detection Tools. - Pei-Hung Lin; Chunhua Liao; Markus Schordan; Ian Karlin (ISoLA (2), 2018)

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

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

Preparation and optimization of a diverse workload for a large-scale heterogeneous system. - Ian Karlin; Yoonho Park; Bronis R. de Supinski; Peng Wang; Bert Still; David Beckingsale; Robert Blake; Tong Chen 001; Guojing Cong; Carlos H. A. Costa; Johann Dahm; Giacomo Domeniconi; et al. (SC, 2019)

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

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

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

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

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

Does it matter?: OMPSanitizer: an impact analyzer of reported data races in OpenMP programs. - Wenwen Wang 001; Pei-Hung Lin (ICS, 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 (MLHPC@SC, 2021)

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

Early Experience with Transformer-Based Similarity Analysis for DataRaceBench. - Winson Chen; Tristan Vanderbruggen; Pei-Hung Lin; Chunhua Liao; Murali Emani (Correctness@SC, 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 (ECSA (Tracks and Workshops), 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 (HUST@SC, 2022)

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

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)

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 (HPEC, 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 (IWOMP, 2023)

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

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

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)

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)

Towards Zero Memory Footprint Spiking Neural Network Training. - Bin Lei; Sheng Lin 001; Pei-Hung Lin; Chunhua Liao; Caiwen Ding (CoRR, 2023)

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

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

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

ARM SVE Unleashed: Performance and Insights Across HPC Applications on Nvidia Grace. - Ruimin Shi; Gabin Schieffer; Maya B. Gokhale; Pei-Hung Lin; Hiren D. Patel; Ivy Peng (Euro-Par (2), 2025)