Younghyun Cho

I completed my Ph.D. defense in June 2020, and I will be graduating with a Ph.D. in August 2020.

Research Interest

My research interest lies in the area of parallel and high-performance computing. In particular, I work on performance optimization issues by leveraging machine learning and analytical modeling.

Education

  • Mar. 2013 - Aug. 2020: Ph.D. in Electrical Engineering and Computer Science, Seoul National University
    Advisor: Prof. Bernhard Egger

  • Mar. 2007 - Feb. 2013: B.S. in Computer Science, University of Seoul

Experience

  • Jun. 2016 - Aug. 2016, Mar. 2018 - May. 2018: Visiting researcher at Laboratory for Software Technology, ETH Zurich, Switzerland
    Advisor: Prof. Thomas R. Gross

Conference & Journal Publications

  • [JPDC'20] Reza Entezari-Maleki, Younghyun Cho, and Bernhard Egger, "Evaluation of Memory Performance in NUMA Architectures using Stochastic Reward Nets", In Journal of Parallel and Distributed Computing (JPDC), October 2020.

  • [TPDS'20] 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.

  • [PACT'18a] Younghyun Cho, Camilo A. Celis Guzman, and Bernhard Egger, "Maximizing System Utilization via Parallelism Management for Co-Located Parallel Applications", In Proceedings of the 2018 International Conference on Parallel Architectures and Compilation Techniques, Limassol, Cyprus, November 2018.

  • [PACT'18b] 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 2018 International Conference on Parallel Architectures and Compilation Techniques, Limassol, Cyprus, November 2018.

  • [PACT'16] Younghyun Cho, Surim Oh, and Bernhard Egger, "Online Scalability Characterization of Data-parallel Programs on Many Cores", In Proceedings of the 26th International Conference on Parallel Architectures and Compilation Techniques, Haifa, Israel, September 2016.

  • [TC'16] Bernhard Egger, Eunbyung Park, Younghyun Cho, Changyeon Jo, and Jaejin Lee, "Efficient Checkpointing of Live Virtual Machines", In IEEE Transactions on Computers (TC), Volume 65, Issue 10, pp. 3041 - 3054, Januray 2016. (Author note: my author photo in this article was wrongly posted with Changyeon's)

Workshop & Poster Presentations

  • [PACT-Poster'17] Younghyun Cho, Camilo A. Celis Guzman, and Bernhard Egger, "POSTER: Improving NUMA System Efficiency with a Utilization-based Co-scheduling", In Proceedings of the 2017 International Conference on Parallel Architectures and Compilation Techniques, Portland, USA, September 2017

  • [MULTIPROG'17] 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, Stockholm, Sweden, Januray 2017

  • [MULTIPROG'17] 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, Stockholm, Sweden, Januray 2017

  • [CATC'16] 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, Haifa, Israel, September 2016.

  • [JSSPP'16] 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, Chicago, USA, May 2016. In Lecture Notes in Computer Science (LNCS), Volumne 10353, pp. 158-177, July 2016.

Awards

  • [SnuMAP] Younghyun Cho, Camilo A. Celis Guzman, Heesik Shin, Surim Oh, 2nd Prize, in Open Source Software World Challenge 2016, Seoul, South Korea, December 2016.

Activities

  • Artifact evaluation service: PPoPP 2018, PPoPP 2019, LCTES 2019.