Team Member: Dr. Minh Chung

Research Interests

• Parallel Computer architectures and Performance analysis
• Task-based Programming Models & Load Balancing
• Strategies towards improving efficiency of computation on heterogenous system

Student Works

• Nikola Nincic, Evaluation of Modern PGAS Libraries for Work Stealing in Distributed Memory, Bachelorarbeit, co-supervise with Philipp Samfass, Technische Universität München, Jul 2021.

Publications

• Raoofy, A., Elis, B., Bode, V., Chung, M., Breiter, S., Schlemon, M., Herr, D.-F., Fuerlinger, K., Schulz, M., Weidendorfer, J., BEAST Lab: A Practical Course on Experimental Evaluation of Diverse Modern HPC Architectures and Accelerators , Journal of Computational Science Education, 2024(15), 23-31, März, 2024.
• Chung, M., Weidendorfer, J., Fuerlinger, K., Kranzlmüller, D., From Reactive to Proactive Load Balancing for Task-based Parallel Applications in Distributed Memory Machines, Journal of Concurrency and Computation: Practice and Experience (CCPE), e7828, Wiley, Juni, 2023.
• Breiter, S., Weidendorfer, J., Chung, M., Fuerlinger, K., A Profiling-Based Approach to Cache Partitioning of Program Data, In Parallel and Distributed Computing, Applications and Technologies (PDCAT22), 453--463, Springer Nature Switzerland, April, 2023.
• Chung, M., Weidendorfer, J., Fuerlinger, K., Kranzlmüller, D., Proactive Task Offloading for Load Balancing in Iterative Applications, In Parallel Processing and Applied Mathematics (PPAM 2022), 263-275, Springer, April, 2023.
• Chung, M., Kranzlmüller, D., User-defined Tools for Characterizing Task-Parallel Applications and Predicting Load Imbalance, In The 15th International Conference on Advanced Computing and Applications (ACOMP21), 2021, IEEE, November, 2021.
• Samfass, P., Klinkenberg, J., Chung, M., Bader, M., Predictive, reactive and replication-based load balancing of tasks in Chameleon and Sam(oa)2, In Proceedings of the Platform for Advanced Scientific Computing Conference (PASC21), 2021, ACM, Juli, 2021.
• Chung, M., Weidendorfer, J., Samfass, P., Fuerlinger, K., Kranzlmüller, D., Scheduling across Multiple Applications using Task-Based Programming Models, In 2020 IEEE/ACM Fourth Annual Workshop on Emerging Parallel and Distributed Runtime Systems and Middleware (IPDRM), In conjunction with the International Conference for High Performance Computing, Networking, Storage and Analysis, (SC20), November, 2020.
• Chung, M., Kien, T. P., Nam, T., Kranzlmüller, D., A New Approach for Scheduling Job with the Heterogeneity-Aware Resource in HPC Systems, In 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 1900-1907, IEEE, Zhangjiajie, China, August, 2019.
• Diep, D., Minh-Tri, N., Nhu-Y, N.-H., Chung, M., Manh-Thin, N., Nguyen, Q.-H., Nam, T., Chainer-XP: A Flexible Framework for Artificial Neural Networks Run on the Intel Xeon Phi Coprocessor, In 7th International Conference on High Performance Scientific Computing (HPSC), pp. 133-147, Springer, Hanoi, Vietnam, März, 2018.
• Chung, M., Nguyen, Q.-H., Nguyen, M.-T., Nam, T., Using docker in high performance computing applications, In 2016 IEEE Sixth International Conference on Communications and Electronics (ICCE, 52-57, IEEE, Ha Long, Vietnam, Dezember, 2016.
• Nguyen, D. H., Chung, M., Pham, T. V., Nam, T., Accelerating Range Query Execution of in-Memory Stores: A Performance Study, In 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 237-244, IEEE, Sydney, NSW, Australia, Dezember, 2016.
• Chung, M., Nguyen, M.-T., Nhu-Y, N.-H., Nguyen, T., Nam, T., Performance evaluation of environmental applications using TELEMAC-MASCARET on virtual platforms, In 2016 IEEE 12th International Conference on e-Science (e-Science), 441-448, IEEE, Baltimore, MD, USA, Oktober, 2016.