Youngsung Kim

Youngsung Kim

Software Performance Engineer

Youngsung Kim is a software performance engineer and tool developer interested in supporting domain scientists through technical consultancy. He is a member of the Performance group for the Energy Exascale Earth System Model. 

 

Publication

  • Making root cause analysis feasible for large code bases: A solution approach for a climate model
    • HPDC 2019- Proceedings of the 28th International Symposium on High- Performance Parallel and Distributed Computing
    • 2019 | conference-paper
    • DOI: 10.1145/3307681.3325399EID: 2-s2.0-85069232816
  • Optimizing the HOMME dynamical core for multicore platforms
    • International Journal of High Performance Computing Applications
    • 2019 | journal-article
    • DOI: 10.1177/1094342019849618EID: 2-s2.0-85066823536
  • Assessing representativeness of kernels using descriptive statistics
    • Proceedings - IEEE International Conference on Cluster Computing, ICCC
    • 2017 | conference-paper
    • DOI: 10.1109/CLUSTER.2017.117EID: 2-s2.0-85032627752
  • Compiler technologies for understanding legacy scientific code: A case study on an ACME land module
    • Procedia Computer Science
    • 2017 | conference-paper
    • DOI: 10.1016/j.procs.2017.05.264EID: 2-s2.0-85027317814
  • Preparing the community earth system model for exascale computing
    • Exascale Scientific Applications: Scalability and Performance Portability
    • 2017 | book-chapter
    • Part of DOI: 10.1201/b21930EID: 2-s2.0-85052468364
  • KGEN: A python tool for automated fortran kernel generation and verification
    • Procedia Computer Science
    • 2016 | conference-paper
    • DOI: 10.1016/j.procs.2016.05.466EID: 2-s2.0-84978524786
  • Performance search engine driven by prior knowledge of optimization
    • ARRAY 2015 - Proceedings of the 2nd ACM SIGPLAN International
    • Workshop on Libraries, Languages, and Compilers for Array Programming,
    • co-located with PLDI 2015
    • 2015 | conference-paper
    • DOI: 10.1145/2774959.2774963EID: 2-s2.0-84979747362
  • DG-kernel: A climate benchmark on accelerated and conventional architectures
    • Proceedings - 2013 Extreme Scaling Workshop, XSW 2013
    • 2013 | conference-paper
    • DOI: 10.1109/XSW.2013.11EID: 2-s2.0-84901068355