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Final Report: HPC-FAIR: A Framework Managing Data and AI Models for Analyzing and Optimizing Scientific Applications
Chunhua Liao, Xipeng Shen, Murali Emani, Tristan Vanderbruggen and Pei-Hung Lin
Technical Report, Lawrence Livermore National Laboratory , September 2024
PDF (LLNL-TR-869537)
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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, and Wan Du
In Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (SC-W 2023), November 12--17, 2023
PDF (LLNL-CONF-853156)
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Data Race Detection Using Large Language Models
Le Chen, Xianzhong Ding, Murali Emani, Tristan Vanderbruggen, Pei-Hung Lin, and Chunhua Liao
In Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis (SC-W 2023), November 12--17, 2023, Denver, CO, USA. ACM, New York, NY, USA
PDF (LLNLCONF-853160)
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LM4HPC: Towards Effective Language Model Application in High-Performance Computing
Le Chen, Pei-Hung Lin, Tristan Vanderbruggen, Chunhua Liao, Murali Emani, and Bronis de Supinski
IWOMP, University of Bristol, UK, Sept. 12-15, 2023
PDF (LLNL-CONF-849438)
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Creating a Dataset Supporting Translation Between OpenMP Fortran and C++ Code
Bin Lei, Caiwen Ding, Le Chen, Pei-Hung Lin, and Chunhua Liao
IEEE High Performance Extreme Computing, Sept. 25-29, 2023
PDF (LLNL-PROC-851836)
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Towards Seamless Management of AI Models in High-Performance Computing
Sixing Yu, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Xipeng Shen, and Ali Jannesari
2nd AAAI workshop on AI to Accelerate Science and Engineering, Washington DC, DC, USA, February 2023
PDF (LLNL-CONF-842207)
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Generating and Analyzing Program Call Graphs using Ontology
Ethan Dorta, Yonghong Yan, Chunhua Liao
Workshop on Programming and Performance Visualization Tools, held in conjunction with SC'22
PDF (LLNL-CONF-838827)
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Early Experience with Transformer-Based Similarity Analysis for DataRaceBench
Winson Chen, Tristan Vanderbruggen, Pei-Hung Lin, Chunhua Liao, Murali Emani
The Sixth International Workshop on Software Correctness for HPC Applications (Correctness 2022)
PDF (LLNL-CONF-838838)
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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
The 2022 IEEE/ACM 9th International Workshop on HPC User Support Tools (HUST-22) held in conjunction with SC '22
PDF (LLNL-CONF-833524)
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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 and Hailu Xu
1st Workshop on Trustable and Ethical Machine Learning, During Transdisciplinary AI, Laguna Hills, CA, USA, 19-21 September 2022
PDF (LLNL-CONF-832022)
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Finding Reusable Machine Learning Components to Build Programming Language Processing Pipelines
Patrick Flynn, Tristan Vanderbruggen, Chunhua Liao, Pei-Hung Lin, Murali Emani and Xipeng Shen
2nd International Workshop on Software Architecture and Machine Learning, 2022
PDF (LLNL-CONF-837414)
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HPCFAIR: Enabling FAIR AI for HPC Applications
Gaurav Verma, Murali Emani, Chunhua Liao, Pei-Hung Lin, Tristan Vanderbruggen, Xipeng Shen, Barbara Chapman
2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC)
PDF (LLNL-CONF-826435)
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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
2021 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC)
PDF (LLNL-CONF-826494)
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Deep NLP-based Co-evolvement for Synthesizing Code Analysis from Natural Language
Zifan Nan, Hui Guan, Xipeng Shen, and Chunhua Liao
Proceedings of the 30th ACM SIGPLAN International Conference on Compiler Construction, pp. 141-152. 2021
PDF (LLNL-CONF-794949)