I am a 5th year Ph.D. candidate in Georgia Tech, advised by Profs. Kishore Ramachandran and Tushar Krishna. Prior to coming to Atlanta, I received my Bachelor's degree in Seoul National University (SNU), Korea.
My dissertation research aims to make it easier to predict the performance of distributed ML workloads. The work looks at several layers of the configuration space - workload, collective, network fabric- and combines simulation with ground truth, in stack execution. My CV is available here.
At my free time I play the double bass as a proud member of the Emory University Symphony Orchestra (EUSO).
I can be reached at firstname at gatech dot edu.
News!!
Apr 21, 2026 I will be performing Gustav Mahler's Symphony No.5 this upcoming Friday, Apr 24th.
Apr 21, 2026 I passed my proposal exam!
Select Publications
Jinsun Yoo, Meghan Cowan, Zheng Du, Changhai Man, Srinivas Sridharan, Tushar Krishna,
Flint: Compiler Enabled Cluster-Free Design Space Exploration for Distributed ML, arxiv preprint link
Srinivas Sridharan, ..., Jinsun Yoo, ..., Tushar Krishna, MLCommons Chakra: Advancing Performance Benchmarking and Co-Design Using Standardized Execution Traces, MLSys 2026 (to appear)
Jinsun Yoo, William Won, Meghan Cowan, Nan(Ted) Jiang, Benjamin Klenk, Srinivas Sridharan, Tushar Krishna, Towards a Standardized Representation for Deep Learning Collective Algorithms, IEEE Micro, vol 45, no. 2, 2024 OR IEEE Hot Interconnects, 2024 (HotI ‘24) link
Difei Cao, Jinsun Yoo (co-first author), Zhuangdi Xu, Enrique Saurez, Harshit Gupta, Tushar Krishna, Umakishore Ramachandran, MicroEdge: a multi-tenant edge cluster system architecture for scalable camera processing, ACM Middleware, 2022 (Middleware ‘22) link Best Paper Award!!
Other Publications
Jaewon Lee, Hyunggyu Park, Seungwoo Cha, Jinsun Yoo, Srujan Penta, Tushar Krishna, Muhannad Bakir, Demonstration of a 200×200 mm2 Glass Substrate for Large Area Packages, ECTC, 2026 (to appear)
Anirudh Sarma, Jinsun Yoo, Jithin Sojan, Umakishore Ramachandran, Myungjin Lee, FEO: Efficient Resource Allocation for FaaS at the Edge, ACM International Conference on Distributed and Event-based Systems, 2024 (DEBS ‘24) link