Pei-Hung Lin

According to our database, Pei-Hung Lin authored at least 44 papers between 2008 and 2023.

Collaborative distances:

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

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

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

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

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

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

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

Does it matter?: OMPSanitizer: an impact analyzer of reported data races in OpenMP programs.

Wenwen Wang, Pei-Hung Lin

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 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

2020

Porting a 3D seismic modeling code (SW4) to CORAL machines.

Ramesh Pankajakshan, Pei-Hung Lin, Björn Sjögreen

IBM J. Res. Dev., 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

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

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

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, Guojing Cong, Carlos H. A. Costa, Johann Dahm, Giacomo Domeniconi, Thomas Epperly, Aaron Fisher, Sara Kokkila Schumacher, Steven H. Langer, Hai Le, Eun Kyung Lee, Naoya Maruyama, Xinyu Que, David F. Richards, Björn Sjögreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, Xiaohua Zhang, Bob Anderson, David Appelhans, Levi Barnes, Peter D. Barnes Jr., Sorin Bastea, David Böhme, Jamie A. Bramwell, James M. Brase, José R. Brunheroto, Barry Chen, Charway R. Cooper, Tony Degroot, Robert D. Falgout, Todd Gamblin, David J. Gardner, James N. Glosli, John A. Gunnels, Max P. Katz, Tzanio V. Kolev, I-Feng W. Kuo, Matthew P. LeGendre, Ruipeng Li, Pei-Hung Lin, Shelby Lockhart, Kathleen McCandless, Claudia Misale, Jaime H. Moreno, Rob Neely, Jarom Nelson, Rao Nimmakayala, Kathryn M. O'Brien, Kevin O'Brien, Ramesh Pankajakshan, Roger Pearce, Slaven Peles, Phil Regier, Steven C. Rennich, Martin Schulz, Howard Scott, James C. Sexton, Kathleen Shoga, Shiv Sundram, Guillaume Thomas-Collignon, Brian Van Essen, Alexey Voronin, Bob Walkup, Lu Wang, Chris Ward, Hui-Fang Wen, Daniel A. White, Christopher Young, Cyril Zeller, Edward Zywicz

Proceedings of the International Conference for High Performance Computing, 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

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

Verifying the Floating-Point Computation Equivalence of Manually and Automatically Differentiated Code.

Markus Schordan, Jan Hückelheim, Pei-Hung Lin, Harshitha Menon

Proceedings of the First International Workshop on Software Correctness for HPC Applications, 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

2016

Transforming the multifluid PPM algorithm to run on GPUs.

Pei-Hung Lin, Paul R. Woodward

J. Parallel Distributed Comput., 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

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

Revisiting loop fusion in the polyhedral framework.

Sanyam Mehta, Pei-Hung Lin, Pen-Chung Yew

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

Proceedings of the Leveraging Applications of Formal Methods, Verification and Validation. Specialized Techniques and Applications, 2014

CFD Builder: A Library Builder for Computational Fluid Dynamics.

Jagan Jayaraj, Pei-Hung Lin, Paul R. Woodward, Pen-Chung Yew

Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014

2012

A Study of Performance Portability Using Piecewise-Parabolic Method (PPM) Gas Dynamics Applications.

Pei-Hung Lin, Jagan Jayaraj, Paul R. Woodward, Pen-Chung Yew

Proceedings of the International Conference on Computational Science, 2012

2010

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

Proceedings of the International Conference on Computational Science, 2010

2009

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

2008

Moving Scientific Codes to Multicore Microprocessor CPUs.

Paul R. Woodward, Jagan Jayaraj, Pei-Hung Lin, Pen-Chung Yew

Comput. Sci. Eng., 2008