교수진소개
교수진소개
 학과소개 교수진소개
이름
김성곤
전공
고성능 컴퓨팅, 빅데이터, 분산 시스템, 클라우드, 스토리지 및 SSD
TEL
02-970-6715
E-mail
sunggonkim@seoultech.ac.kr
연구실
무궁관 209호
교수소개 돌아가기
학력
2015. 5. University of Wisconsin-Madison, Department of Computer Science
2021. 8. 서울대학교 컴퓨터공학과 공학박사
주요 경력
- 2021.09~2022.02 박사 후 연구원, 서울대학교 지능형 컴퓨팅 사업단
- 2018.01~ Collaborater, Lawrence Berkely National Laborartory
연구 분야
고성능 컴퓨팅, 빅데이터, 분산 시스템, 클라우드, 스토리지 및 SSD
담당 교과목
컴퓨터공학 개론, 객채지향 프로그래밍
주요논문 및 저서
Towards HPC I/O Performance Prediction through Large-scale Log Analysis. HPDC 2020 (BK21 Top Conference)

DCA-IO: A Dynamic I/O Control Scheme for Parallel and Distributed File System. CCgrid 2019 (BK21 Top Conference)

Improving I/O Performance in Distributed File Systems for Flash-based SSDs by Access Pattern Reshaping. Future Generation Computer Systems (SCIE)
저널 논문
Kim, Sunggon, and Yongseok Son. "Optimizing Key-Value Stores for Flash-Based SSDs via Key Reshaping." IEEE Access 9 (2021): 115135-115144.

Kim, Sunggon, Jaehyun Han, Hyeonsang Eom, and Yongseok Son. "Improving I/O performance in distributed file systems for flash-based SSDs by access pattern reshaping." Future Generation Computer Systems 115 (2021): 365-373.

Myung, Kihyeon, Sunggon Kim, Heon Young Yeom, and Jiwoong Park. "Efficient and Scalable External Sort Framework for NVMe SSD." IEEE Transactions on Computers 70, no. 12 (2020): 2211-2217.

Kim, Sunggon, Dongwhan Kim, Yongseok Son, and Hyeonsang Eom. "Towards predicting GPGPU performance for concurrent workloads in Multi-GPGPU environment." Cluster Computing 23, no. 3 (2020): 2261-2272.

김성곤, 성동규, and 엄현상. "HPC 스토리지 시스템 성능 향상 최신 연구 동향." 정보과학회지 37, no. 10 (2019): 46-51.

김화정, 김성곤, 염헌영, and 손용석. "고성능 컴퓨팅 시스템에서 RocksDB 의 병렬성에 따른 성능 평가." 한국정보과학회 학술발표논문집 (2019): 56-58.

Kim, Sunggon, Hyeonsang Eom, and Yongseok Son. "Improving spatial locality in virtual machine for flash storage." IEEE Access 7 (2018): 1668-1676.

Son, Yongseok, Moonsub Kim, Sunggon Kim, Heon Young Yeom, Nam Sung Kim, and Hyuck Han. "Design and implementation of SSD-assisted backup and recovery for database systems." IEEE Transactions on Knowledge and Data Engineering 32, no. 2 (2018): 260-274.
학술대회
Bang, Jiwoo, Chungyong Kim, Sunggon Kim, Qichen Chen, Cheongjun Lee, Eun-Kyu Byun, Jaehwan Lee, and Hyeonsang Eom. "Finer-lru: A scalable page management scheme for hpc manycore architectures." In 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pp. 567-576. IEEE, 2021.

Bang, Jiwoo, Chungyong Kim, Kesheng Wu, Alex Sim, Suren Byna, Sunggon Kim, and Hyeonsang Eom. "HPC workload characterization using feature selection and clustering." In Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, pp. 33-40. 2020.

Kim, Sunggon, Dongwhan Kim, Hyeonsang Eom, and Yongseok Son. "Towards Predicting GPGPU Performance for Concurrent Workloads." In 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS* W), pp. 164-169. IEEE, 2019.

Wang, Teng, Suren Byna, Glenn K. Lockwood, Shane Snyder, Philip Carns, Sunggon Kim, and Nicholas J. Wright. "A zoom-in analysis of i/o logs to detect root causes of i/o performance bottlenecks." In 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), pp. 102-111. IEEE, 2019.

Kim, Sunggon, Alex Sim, Kesheng Wu, Suren Byna, Teng Wang, Yongseok Son, and Hyeonsang Eom. "DCA-IO: A dynamic I/O control scheme for parallel and distributed file systems." In 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), pp. 351-360. IEEE, 2019.

Son, Yongseok, Sunggon Kim, Heon Y. Yeom, and Hyuck Han. "{High-Performance} Transaction Processing in Journaling File Systems." In 16th USENIX Conference on File and Storage Technologies (FAST 18), pp. 227-240. 2018.

손용석, 김성곤, and 염헌영. "응용의 성능 및 일관성을 위한 비휘발성 메모리 기반 로그 구조 버퍼." 한국정보과학회 학술발표논문집 (2017): 40-42.

Son, Yongseok, Jaeyoon Choi, Jekyeom Jeon, Cheolgi Min, Sunggon Kim, Heon Young Yeom, and Hyuck Han. "SSD-assisted backup and recovery for database systems." In 2017 IEEE 33rd International Conference on Data Engineering (ICDE), pp. 285-296. IEEE, 2017.

Quick Menu

  • 학사 공지사항
  • 대학원 공지사항
  • 장학 공지사항
  • 취업본부
  • 도서관
  • e-Class(강의)
  • 서울과기대 포탈
  • 일반대학원
  • 대학홈피 사이트맵
  • 학사일정
[01811] 서울 노원구 공릉로 232 서울과학기술대학교 컴퓨터공학과 미래관 315호 TEL : 02-970-6707 FAX : 02-970-9734
Copyright (c) SEOUL NATIONAL UNIVERSITY OF SCIENCE AND TECHNOLOGY. All Rights Reserved.