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Younghyun Cho

Younghyun Cho

   Younghyun Cho, Ph.D.

Education:

  • Mar. 2013 ~ Aug. 2020 : Ph.D. student in the Computer Systems and Platforms Lab
    Advisor: Prof. Bernhard Egger
    Thesis Title: Parallelism Management for Co-Located Parallel Applications
  • Mar. 2007 ~ Feb. 2013 : B.S. in Computer Science at University of Seoul, Korea

Experience:

  • Mar. 2018 ~ May. 2018 : Visiting Researcher at ETH Zürich
    Advisor: Prof. Thomas R. Gross
  • Jun. 2016 ~ Aug. 2016 : Visiting Researcher at ETH Zürich
    Advisor: Prof. Thomas R. Gross

Research Interests:

  • Computer architecture and systems
  • Parallel and high-performance computing
  • Performance modeling and evaluation

Publications:

  • Younghyun Cho, Surim Oh, and Bernhard Egger. Performance Modeling of Parallel Loops on Multi-Socket Platforms using Queueing Systems. In IEEE Transactions on Parallel and Distributed Systems (TPDS), February 2020.
  • Younghyun Cho, Camilo A. Celis Guzman, and Bernhard Egger. Maximizing System Utilization via Parallelism Management for Co-Located Parallel Applications. In Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques (PACT), November 2018.
  • Younghyun Cho, Florian Negele, Seohong Park, Bernhard Egger, and Thomas R. Gross. On-The-Fly Workload Partitioning for Integrated CPU/GPU Architectures. In Proceedings of the 27th International Conference on Parallel Architectures and Compilation Techniques (PACT), November 2018.
  • Younghyun Cho, Camilo A. Celis Guzman, and Bernhard Egger. POSTER: Improving NUMA System Efficiency with a Utilization-based Co-scheduling. In Proceedings of the 2/3 26th International Conference on Parallel Architectures and Compilation Techniques (PACT), September 2017.
  • Younghyun Cho, Surim Oh, and Bernhard Egger. Cooperative Parallel Runtimes for Multicores. Presented at the 10th International Workshop on Programmability and Architectures for Heterogeneous Multicores, January 2017.
  • Camilo A. Celis Guzman, Younghyun Cho, and Bernhard Egger. SnuMAP: an Open-source Trace Profiler for Manycore Systems. Presented at the 10th International Workshop on Programmability and Architectures for Heterogeneous Multicores, January 2017.
  • Surim Oh, Younghyun Cho, and Bernhard Egger. Efficient Resource Management for Many-cores with Centralized L2 Caches using Distributed Control Processors. Presented at the 7th Compiler, Architectures and Tools Conference, September 2016.
  • Younghyun Cho, Surim Oh, and Bernhard Egger. Online Scalability Characterization of Data-Parallel Programs on Many Cores. In Proceedings of the 25th International Conference on Parallel Architecture and Compilation Techniques (PACT), September 2016.
  • Younghyun Cho, Surim Oh, and Bernhard Egger. Adaptive Space-shared Scheduling for Shared-memory Parallel Programs. Presented at the 20th Workshop on Job Scheduling Strategies for Parallel Processing, May 2016. In Lecture Notes in Computer Science (LNCS), Volumne 10353, July 2016
  • Bernhard Egger, Eunbyung Park, Younghyun Cho, Changyeon Jo, and Jaejin Lee. Efficient Checkpointing of Live Virtual Machines. In IEEE Transactions on Computers (TC), January 2016.

Patents:

  • Bernhard Egger, Surim Oh, Younghyun Cho, and Donghoon Yoo. Method of processing OpenCL Kernel and Computing Device Therefor. US Patent 20180181443A1
  • Bernhard Egger, Younghyun Cho, Surim Oh, and Donghoon Yoo. Computing devices and methods of allocating power to plurality of cores in each computing device. US Patent 20180246554A1,

Awards:

  • SnuMAP: 2nd Prize, in Open Source Software World Challenge, Seoul, South Korea, December 2016.

Services:

  • Artifact Evaluation Committe: PPoPP 2018, PPoPP 2019, LCTES 2019

Contact Information:

  • Office : 301-419 (campus map)
  • E-mail : younghyun at csap dot snu dot ac dot kr
  • Phone : +82 (0)2 880 1819