Bryan S. Kim

I am an associate professor and the Varshney Endowed Faculty Fellow 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.

News

Aug. 2026: Deborup Sanyal joins the group. Welcome!
July 2026: "Rethinking Near-Data Processing Execution: Enabling Device Collaboration with CXL Peer-to-Peer Communication" is accepted to appear in CLUSTER 2026. Well done, Shao-Peng!
July 2026: "Revisiting Block-Interface ZNS RAID Systems with Dynamically-Sized RAID (DS-RAID) and Random Accessible Unified Memory (RAUM)" is accepted to appear in SYSTOR 2026. Good job, Xiangqun!
Apr. 2026: "COMETS: Cost-effective Multi-node Efficient Training System with Memory Pooling and Sharing" is accepted to appear in ICS 2026. Great work, Shao-Peng!
Mar. 2026: "Cost-Efficient Training and Checkpointing for Large Models on Preemptible Cloud VMs" is accepted to appear in EuroMLSys 2026. Good job, Omkar!
Dec. 2025: I am honored to be named as the inaugural Varshney Faculty Fellow.
Aug. 2025: Sandy Lin and Tan Tao join the group. Welcome!
June 2025: NSF awards the DESC proposal "CHIPLETS360: Datacenter Optimization Through Whole-stack Novel Accounting, Design, Reuse, and Heterogeneous Provisioning of CHIPLETS." Thank you, NSF!
June 2025: "Preparation Meets Opportunity: Enhancing Data Preprocessing for ML Training With Seneca" is accepted to appear in FAST 2026. Great work, Omkar!
May 2025: Shao-Peng and Xiangqun are off to their internships at Samsung and Meta, respectively. Have fun!
Apr. 2025: Ziyang Jiao successfully defends his dissertation. Congratulations, Dr. Jiao!
Apr. 2025: NSF awards the CAREER proposal "Bridging the Information Gap in Memory and Storage." Thank you, NSF!
Jan. 2025: "Storage Abstractions for SSDs: The Past, Present, and Future" is accepted to appear in ACM TOS. Well done, Xiangqun!

Recent publications

[CLUSTER'26] Shao-Peng Yang, Sandy Lin, Gongjin Sun, Dongyang Li, Shuyi Pei, and Bryan S. Kim. Rethinking Near-Data Processing Execution: Enabling Device Collaboration with CXL Peer-to-Peer Communication. To appear in IEEE International Conference on Cluster Computing, 2026
[SYSTOR'26] Xiangqun Zhang and Bryan S. Kim. Revisiting Block-Interface ZNS RAID Systems with Dynamically-Sized RAID (DS-RAID) and Random Accessible Unified Memory (RAUM). To appear in ACM International Systems and Storage Conference, 2026
[ICS'26] Hanqiu Chen, Shao-Peng Yang, Mohammadreza Soltaniyeh, Shuyi Pei, Andrew Chang, Bryan S. Kim, and Cong Hao. COMETS: Cost-effective Multi-node Efficient Training System with Memory Pooling and Sharing. ACM International Conference on Supercomputing, 2026
[EuroMLSys'26] Omkar Desai, Shuyi Pei, Janki Bhimani, and Bryan S. Kim. Cost-Efficient Training and Checkpointing for Large Models on Preemptible Cloud VMs. ACM Workshop on Machine Learning and Systems, 2026
[ISPASS'26] Nakyeong Kim, Kwanghee Lee, Bryan S. Kim, Seehwan Yoo, Jaedong Lee, and Jongmoo Choi. FDPEmu: How to Separate Workloads for Better WAF on FDP SSDs. IEEE International Symposium on Performance Analysis of Systems and Software, 2026
[FAST'26] Omkar Desai, Ziyang Jiao, Shuyi Pei, Janki Bhimani, and Bryan S. Kim. Preparation Meets Opportunity: Enhancing Data Preprocessing for ML Training With Seneca. USENIX Conference on File and Storage Technologies, 2026
[HotStorage'25] Hayan Lee, Wookyung Lee, Sanghyuck Jung, Jinki Han, Bryan S. Kim, Sungjin Lee, and Eunji Lee. Revisiting TRIM for CXL Memory. ACM Workshop on Hot Topics in Storage and File Systems, 2025
[CLOUD'25] Seungmin Shin, Leeju Kim, Wookyung Lee, Eyee Hyun Nam, Seungmin Kim, Bryan S. Kim, Sungjin Lee, and Eunji Lee. Avoiding Pitfalls in Networked Key-Value Store for Tiered Memory. IEEE International Conference on Cloud Computing, 2025
[ASEE'25] Xiangqun Zhang, Ziyang Jiao, Farzana Rahman, and Bryan S. Kim. Missing Piece: Integrating Storage into CompOrg Courses. American Society for Engineering Education Annual Conference, 2025
[Access'25] Hojin Shin, Gunhee Choi, Bryan S. Kim, Seehwan Yoo, and Jongmoo Choi. DASL: An Index for Enhancing Tail Latency, Microarchitecture Friendliness, and Restructuring Overhead. IEEE Access, 2025
[TOS'25] Xiangqun Zhang, Janki Bhimani, Shuyi Pei, Eunji Lee, Sungjin Lee, Yoon Jae Seong, Eui Jin Kim, Changho Choi, Eyee Hyun Nam, Jongmoo Choi, and Bryan S. Kim. Storage Abstractions for SSDs: The Past, Present, and Future. ACM Transactions on Storage, 2025
[HotStorage'24] Ziyang Jiao and Bryan S. Kim. Asymmetric RAID: Rethinking RAID for SSD Heterogeneity. ACM Workshop on Hot Topics in Storage and File Systems, 2024
[FAST'24] Ziyang Jiao, Xiangqun Zhang, Hojin Shin, Jongmoo Choi, and Bryan S. Kim. The Design and Implementation of a Capacity-Variant Storage System. USENIX Conference on File and Storage Technologies, 2024
[NVMSA'23] Yejin Han, Myunghoon Oh, Seehwan Yoo, Jaedong Lee, Bryan S. Kim, and Jongmoo Choi. Achieving Performance Isolation in Docker Environments with ZNS SSDs. IEEE Non-Volatile Memory Systems and Applications Symposium, 2023
[ATC'23] Shao-Peng Yang, Minjae Kim, Sanghyun Nam, Juhyung Park, Jin-yong Choi, Eyee Hyun Nam, Eunji Lee, Sungjin Lee, and Bryan S. Kim. Overcoming the Memory Wall With CXL-Enabled SSDs. USENIX Annual Technical Conference, 2023
[HotStorage'23] Xiangqun Zhang, Shuyi Pei, Jongmoo Choi, and Bryan S. Kim. Excessive SSD Internal Parallelism Considered Harmful. ACM Workshop on Hot Topics in Storage and File Systems, 2023
[DSN'23] Jeoungwon Lee, Heekwon Park, Gunhee Choi, Jaedong Lee, Bryan S. Kim, Seehwan Yoo, and Jongmoo Choi. ACE: Analog Cell Emulator for Dependability Study of NAND Flash Memory. IEEE/IFIP International Conference on Dependable Systgems and Networks, 2023
[SYSTOR'23] Inho Song, Myounghoon Oh, Bryan S. Kim, Seehwan Yoo, Jongmoo Choi, and Jaedong Lee. ConfZNS: A Novel Emulator for Exploring Design Space of ZNS SSDs. ACM International Systems and Storage Conference, 2023
[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. 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. IEEE Computer Architecture Letters, 2022
[HotStorage'22] Ziyang Jiao, Janki Bhimani, and Bryan S. Kim. Wear Leveling in SSDs Considered Harmful. 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. 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. ACM Workshop on Hot Topics in Storage and File Systems, 2022

Teaching

CSE486: Design of Operating Systems (SP25, SP24)
CIS341: Computer Organization & Programming Systems (SP26, FA25, FA24, FA23, FA22, SP22, SP21, SP20)
CIS700: Storage Systems for Big Data (FA22, FA20, FA19)