Education
B.S. in Computer Science and Engineering; UNIST(Mar 2014 - Feb 2021)
Combined M.S and Ph.D student (Mar 2021 - present)
Publications
[VLDB'2024] FusionFlow: Accelerating Data Preprocessing for MachineLearning with CPU-GPU Cooperation
Taeyoon Kim, ChanHo Park, Mansur Mukimbekov, Heelim Hong, Minseok Kim, Ze Jin, Changdae Kim, Ji-Yong Shin, Myeongjae Jeon[USENIX ATC'22] Sibylla: To Retry or Not To Retry on Deep Learning Job Failure
Taeyoon Kim, Suyeon Jeong, Jongseop Lee, Soobee Lee, Myeongjae Jeon[WWW'21] Reliability of Large Scale GPU Clusters for Deep Learning Workloads (Invited Paper)
Junjie Qian, Taeyoon Kim, Myeongjae Jeon
Research Interests
Resource Managing on Machine Level (CPU, GPU)
Resource Managing on Cluster (Data Center)
Machine Learning Platform
Big Data Analytics Platform
Experiences
Research Intern, KaKaoBrain (Jun 2022 - Aug 2022)
Research Intern, OMNIA at UNIST (Jan 2020 - Feb 2021)
Program TA, MIT BWSI (July 2019 - Aug 2019)
Teaching Assistants
Teaching Assistant, Computer Algorithms (2023 Spring Semeter)
Teaching Assistant, Parallel Computing (2022 Fall Semester)
Teaching Assistant, Computer Algorithms (2022 Spring Semester)
Teaching Assistant, Computer Architecture (2021 Fall Semester)
Teaching Assistant, Operating System (2021 Spring Semester)