Tristan Vanderbruggen

According to our database, Tristan Vanderbruggen authored at least 17 papers between 2014 and 2023.

Collaborative distances:

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

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

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

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

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

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

HPC-MixPBench: An HPC Benchmark Suite for Mixed-Precision Analysis.

Konstantinos Parasyris, Ignacio Laguna, Harshitha Menon, Markus Schordan, Daniel Osei-Kuffuor, Giorgis Georgakoudis, Michael O. Lam, Tristan Vanderbruggen

Proceedings of the IEEE International Symposium on Workload Characterization, 2020

2019

Tool Integration for Source-Level Mixed Precision.

Michael O. Lam, Tristan Vanderbruggen, Harshitha Menon, Markus Schordan

Proceedings of the 2019 IEEE/ACM 3rd International Workshop on Software Correctness for HPC Applications (Correctness), 2019

2017

Directive-based tile abstraction to distribute loops on accelerators.

Tristan Vanderbruggen, John Cavazos, Chunhua Liao, Daniel J. Quinlan

Proceedings of the General Purpose GPUs, 2017

Parallelization of Machine Learning Applied to Call Graphs of Binaries for Malware Detection.

Robert Searles, Lifan Xu, William Killian, Tristan Vanderbruggen, Teague Forren, John Howe, Zachary Pearson, Corey Shannon, Joshua Simmons, John Cavazos

Proceedings of the 25th Euromicro International Conference on Parallel, 2017

2014

Generating OpenCL C kernels from OpenACC.

Tristan Vanderbruggen, John Cavazos

Proceedings of the International Workshop on OpenCL, 2014