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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)