Profile

Fourth-year integrated M.S/Ph.D. student
Department of Computer Science and Engineering
Ulsan National Institue of Science and Technology (UNIST)
Ulsan, South Korea.
hmg0228@unist.ac.kr

Interests

  • System software techniques for secure and efficient parallel computing
  • High-performance and energy-efficient parallel computing on embedded systems
  • High-performance big data computing and machine learning
  • Computer systems security

Education

  • M.S/Ph.D. Integrated Program. Computer Science and Engineering,
    Ulsan National Institue of Science and Technology (UNIST), Korea
    Advisor: Prof. Woongki Baek
    March 2018 - Present
  • B.S. Computer Science and Engineering,
    Ulsan National Institue of Science and Technology (UNIST), Korea
    March 2013 - February 2018

Publications

  • Jinsu Park, Seongbeom Park, Myeonggyun Han, and Woongki Baek, “PALM: Progress- and Locality-Aware Adaptive Task Migration for Efficient Thread Packing,” in the Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium (IPDPS), May 2021 (to appear).

  • Myeonggyun Han, Jinsu Park, and Woongki Baek, “Design and Implementation of a Criticality- and Heterogeneity-Aware Runtime System for Task-Parallel Applications,” in the IEEE Transactions on Parallel and Distributed Systems (TPDS), Accepted.

  • Myeonggyun Han and Woongki Baek, “SDRP: Safe, Efficient, and SLO-Aware Workload Consolidation through Secure and Dynamic Resource Partitioning,” in the IEEE Transactions on Services Computing (TSC), Accepted.

  • Myeonggyun Han, Jihoon Hyun, Seongbeom Park, and Woongki Baek, “Hotness- and Lifetime-Aware Data Placement and Migration for High-Performance Deep Learning on Heterogeneous Memory Systems,” in the IEEE Transactions on Computers (TC), 2020.

  • Myeonggyun Han, Jihoon Hyun, Seongbeom Park, Jinsu Park, and Woongki Baek, “MOSAIC: Heterogeneity-, Communication-, and Constraint-Aware Model Slicing and Execution for Accurate and Efficient Inference,” in the Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques (PACT), Sept. 2019.

  • Jinsu Park, Seongbeom Park, Myeonggyun Han, and Woongki Baek, “POSTER: The Performance Impact of Thread Packing on Synchronization-Intensive Applications,” in the Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques (PACT), Sept. 2019 (Poster).

  • Jinsu Park, Seongbeom Park, Myeonggyun Han, Jihoon Hyun, and Woongki Baek, “HyPart: A Hybrid Technique for Practical Memory Bandwidth Partitioning on Commodity Servers,” in the Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques (PACT), Nov. 2018.

  • Myeonggyun Han, Seongdae Yu, and Woongki Baek, “Secure and Dynamic Core and Cache Partitioning for Safe and Efficient Server Consolidation,” in the Proceedings of the 18th IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing (CCGrid), May. 2018 (selected as a Best Paper Finalist).

  • Myeonggyun Han, Jinsu Park, and Woongki Baek, “CHRT: a Criticality- and Heterogeneity-Aware Runtime System for Task-Parallel Applications,” in the Proceedings of the 2017 Design, Automation & Test in Europe Conference & Exhibition (DATE), Mar. 2017.

  • Jinsu Park, Myeonggyun Han, Woongki Baek, “Quantifying the Performance Impact of Large Pages on In-Memory Big-Data Workloads,” IEEE International Symposium on Workload Characterization (IISWC), Sept. 2016.

Experience

Honors and Awards

  • NAVER Ph.D. Fellowship Award, 2020
    • NAVER awarded Ph.D. students who have shown remarkable research results in the field of computer science

  • Student Travel Grant, PACT 2019
    • 28th International Conference on Parallel Architectures and Compilation Techniques (PACT)

  • Best Paper Finalist, CCGrid 2018

  • Silver Prize, NAVER UNIST Undergraduate Poster Award 2017
    • The second place among the 31 participating teams

  • Finalist, 2014 Korea Whitehat Contest (Team HeXA)
    • Held by Ministry of National Defense and National Intelligence Service
    • 5th place at preliminary contest