Curriculum Vitae
PDFResearch Experience
Computer Architecture and System Software Lab
(ComSys)
Ph.D Student | Advisor: Yunho Oh
Research Focus
- Energy-efficient DNN accelerator architecture
- Software techniques for improving the performance of GPUs
- Analysis on CXL-based memory systems for datacenter servers
Computer Architecture and System Software Lab
(ComSys)
M.S. Student | Advisor: Yunho Oh
Research Focus
- Energy-efficient memory systems for DNN accelerator architecture
- DNN accelerator architecture supporting arbitrary numeric formats
Thesis: Improving energy efficiency of DNN accelerators with a new memory hierarchy
Publications
(C=Conference, J=Journal)
[J.3] Jaeyong Park, Sangun Choi, Jongmin Kim, Gunjae Koo, Myung Kuk Yoon, and Yunho Oh. (2025).
TM-Training: An Energy-Efficient Tiered Memory System for Deep Learning Training in NPUs.
ACM Transactions on Storage.
[J.2] Minseong Gil, Jaebeom Jeon, Junsu Kim, Sangun Choi, Gunjae Koo, Seokin Hong, Myung Kuk Yoon, and Yunho Oh. (2024).
TLP Balancer: Predictive Thread Allocation for Multi-Tenant Inference in Embedded GPUs.
IEEE Embedded Systems Letters.
[J.1] Sangun Choi, Seongjun Park, Jaeyong Park, Jongmin Kim, Gunjae Koo, Seokin Hong, Myung Kuk Yoon, and Yunho Oh. (2024).
SAVector: Vectored Systolic Arrays.
IEEE Access.
Education
SungKyunKwan University (SKKU)
M.S. degree in electrical and computer engineering
Advisor: Yunho Oh
GPA: 4.44/4.5 (3.95/4.00)
Korea National University of Transportation (KNUT)
B.S. degree in railroad electrical and electronics engineering
GPA: 4.39/4.5 (3.90/4.00)
Skills
Languages: Korean (Native), English (Professional)
Programming Languages: C, C++, Python, Shell script
Software Tools: SCALE-Simv2, Accelergy, CACTI7.0, GPGPU-Sim
Professional Services
Artifact Evaluation Committee
- 30th International Symposium on High-Performance Computer Architecture (HPCA), 2024