About Jaeyong Park
I am a 4th year integrated M.S/Ph.D course student at Korea University. My research focuses on cost-efficient DNN acceleration using tiered memory systems, NPU and GPU architectures, and memory systems for future data center servers.
Publications
IEEE CAL
Major journal in computer architecture
EONSim: An NPU Simulator for On-Chip Memory and Embedding Vector Operations
Sangun Choi, Jongmin Kim, Jaeyong Park, and Yunho Oh
IEEE Computer Architecture Letters, Vol. 25, pp. 73-76, 2026.
IEEE CAL
Major journal in computer architecture
MOST: Memory Oversubscription-aware Scheduling for Tensor Migration on GPU Unified Storage
Junsu Kim, Jaebeom Jeon, Jaeyong Park, Sangun Choi, Minseong Gil, Seokin Hong, Gunjae Koo, Myung Kuk Yoon, and Yunho Oh
IEEE Computer Architecture Letters, pp. 1-4, 2025.
ACM TOS
Major journal in computer architecture
TM-Training: An Energy-Efficient Tiered Memory System for Deep Learning Training in NPUs
Jaeyong Park, Sangun Choi, Jongmin Kim, Gunjae Koo, Myung Kuk Yoon, and Yunho Oh
ACM Transactions on Storage, Article No. 32, pp. 1-26, 2025.
IEEE Access
SCIE
SAVector: Vectored Systolic Arrays
Sangun Choi, Seongjun Park, Jaeyong Park, Jongmin Kim, Gunjae Koo, Seokin Hong, Myung Kuk Yoon, and Yunho Oh
IEEE Access, Vol. 12, pp. 44446-44461, 2024.
ICPP
Major conference in computer architecture
VitBit: Enhancing Embedded GPU Performance for AI Workloads through Register Operand Packing
Jaebeom Jeon, Junsu Kim, Jaeyong Park, Gunjae Koo, Myung Kuk Yoon, and Yunho Oh
The 53rd International Conference on Parallel Processing, Gotland, Sweden, 2024.
Skills
Language
- Korean: Native
- English: Professional
Programming Languages
- C, C++
- Verilog HDL
- Python
Research Interests
DNN accelerator
Memory system for energy-efficient DNN acceleration