Bryan S. Kim

I am an Assistant Professor in the Department of Electrical Engineering and Computer Science at Syracuse University. I am broadly interested in computer systems and particularly focused on data storage systems. After all, we are living in the Age of Big Data, and it is increasingly becoming important to handle and manage data efficiently for data-centric applications.

Prior to Syracuse, I was a postdoctoral researcher at Seoul National University and a manager at SK telecom. I received my Ph.D. and M.S. in Computer Science and Engineering from Seoul National University, and my B.S. in Electrical Engineering and Computer Science from the University of California, Berkeley.

I have open positions for highly motivated and talented students! Are you interested in high-impact research in data storage systems? Take a look at my research interests and e-mail me your CV.

News

Mar. 2023: The project "Leveraging Disaggregated Servers for Large-Scale AI Training" is awarded by Samsung. Thank you, Samsung!
Feb. 2023: Shao-Peng's work is selected for an oral presentation at ECS Research Day. Congrats, Shao-Peng!
Sep. 2022: The project "Towards Petascale Memory with CXL-enabled Flash" is awarded by FADU. Thank you, FADU!
Aug. 2022: "All-Flash Array Key-Value Cache for Large Objects" is accepted to appear in EuroSys 2023.
Aug. 2022: "A Case Study of a DRAM-NVM Hybrid Memory Allocator for Key-Value Stores" is accepted to appear in CAL 2022.
June 2022: "A Principled Approach for Selecting Block I/O Traces" receives the SK Hynix best presentation award at HotStorage 2022. Congrats, Omkar!
June 2022: "Wear Leveling in SSDs Considered Harmful" receives the Samsung best paper award at HotStorage 2022. Congrats, Ziyang!
June 2022: The project "Development of Intelligent Big Data Platform Using Next-Generation Storage" is awarded by IITP. Thank you, IITP!
May 2022: Omkar is off to his internship at Samsung MSL. Have fun, Omkar!
May 2022: Three papers are accepted to appear in HotStorage 2022. Well done, Omkar and Ziyang!
Jan. 2022: "Generating Realistic Wear Distributions for SSDs" is accepted to be presented at FAST 2022 WiP. Well done, Ziyang!
Jan. 2022: "Overcoming Capacitance Constraints in SSD" is accepted to be presented at FAST 2022 WiP.

Current research directions

Selected publications

[EuroSys'23] Jinhyung Koo, Jinwook Bae, Minjeong Yuk, Seonggyun Oh, Jung-Soo Park, Eunji Lee, Bryan S. Kim, and Sungjin Lee. All-Flash Array Key-Value Cache for Large Objects. To appear in ACM European Conference on Computer Systems, 2023
[CAL'22] Minjae Kim, Bryan S. Kim, Eunji Lee, and Sungjin Lee. A Case Study of a DRAM-NVM Hybrid Memory Allocator for Key-Value Stores. In IEEE Computer Architecture Letters, 2022
[HotStorage'22] Ziyang Jiao, Janki Bhimani, and Bryan S. Kim. Wear Leveling in SSDs Considered Harmful. In ACM Workshop on Hot Topics in Storage and File Systems, 2022
[HotStorage'22] Omkar Desai, Seungmin Shin, Eunji Lee, and Bryan S. Kim. A Principled Approach for Selecting Block I/O Traces. In ACM Workshop on Hot Topics in Storage and File Systems, 2022
[HotStorage'22] Ziyang Jiao and Bryan S. Kim. Generating Realistic Wear Distributions for SSDs. In ACM Workshop on Hot Topics in Storage and File Systems, 2022
[DAC'21] Manoj Pravakar Saha, Adnan Maruf, Bryan S. Kim, and Janki Bhimani. KV-SSD: What is it Good For? In Design Automation Conference, 2021
[CAL'21] Hyeon Gyu Lee, Minwook Kim, Juwon Lee, Eunji Lee, Bryan S. Kim, Sungjin Lee, Yeseong Kim, Sang Lyul Min, and Jin-Soo Kim. Learned Performance Model for SSD. In IEEE Computer Architecture Letters, 2021
[ISLPED'21] Hyeon Gyu Lee, Juwon Lee, Minwook Kim, Donghwa Shin, Sungjin Lee, Bryan S. Kim, Eunji Lee, and Sang Lyul Min. SpartanSSD: a Reliable SSD under Capacitance Constraints. In ACM/IEEE International Symposium on Low Power Electronics and Design, 2021
[OSDI'21] Jinhyung Koo, Junsu Im, Jooyoung Song, Juhyung Park, Eunji Lee, Bryan S. Kim, and Sungjin Lee. Modernizing File System through In-Storage Indexing. In USENIX Symposium on Operating Systems Design and Implementation, 2021
[Middleware'20] Jeseong Yeon, Leeju Kim, Youil Han, Hyeon Gyu Lee, Eunji Lee, and Bryan S. Kim. JellyFish: A Fast Skip List with MVCC. In ACM/IFIP International Middleware Conference, 2020
[HotOS'19] Bryan S. Kim, Eunji Lee, Sungjin Lee, and Sang Lyul Min. CPR for SSDs. In ACM SIGOPS Workshop on Hot Topics in Operating Systems, 2019
[POMACS'19] Youil Han, Bryan S. Kim, Jeseong Yeon, Sungjin Lee, and Eunji Lee. TeksDB: Weaving Data Structures for a High-Performance Key-Value Store. In Proceedings of the ACM on Measurement and Analysis of Computing Systems , 2019
[FAST'19] Bryan S. Kim, Jongmoo Choi, and Sang Lyul Min. Design Tradeoffs for SSD Reliability. In USENIX Conference on File and Storage Technologies, 2019
[APSys'18] Geonhee Lee, Hyeon Gyu Lee, Juwon Lee, Bryan S. Kim, and Sang Lyul Min. An Empirical Study on NVM-based Block I/O Caches. In ACM SIGOPS Asia-Pacific Workshop on Systems, 2018
[ATC'18] Bryan S. Kim, Hyun Suk Yang, and Sang Lyul Min. AutoSSD: an Autonomic SSD Architecture. In USENIX Annual Technical Conference, 2018
[HotStorage'18] Bryan S. Kim. Utilitarian Performance Isolation in Shared SSDs. In USENIX Workshop on Hot Topics in Storage and File Systems, 2018