I am a PhD student in Computer Science at KAIST advised by Prof. Jongse Park. I am a member of Computer Architecture and Systems Lab.
Interests
- AI Systems and Runtime Optimization
- End-to-End Execution of Multi-Stage AI Applications
- GPU Scheduling and Resource Management
- Algorithm-System Co-Design for Efficient AI Inference
Education
-
PhD, Mar 2020 - DateKAIST
-
BS, Mar 2016 - Feb 2020Ajou University
Experiences
-
Grad. Research Assistant, Feb 2020 - Date @ CASYS, KAIST -
Research Intern, Mar 2026 - Sep 2026 @ Microsoft Research Asia -
Undergrad. Research Assistant, Mar 2019 - Dec 2019 @ CSL, Ajou Univ. -
Undergrad. Research Intern, Jun 2018 - Dec 2018 @ DRG, UC Irvine
Publications
-
Changhun Oh, Seongryong Oh, Jinwoo Hwang, Yoonsung Kim, Hardik Sharma, Jongse Park
Neo: Real-Time On-Device 3D Gaussian Splatting with Reuse-and-Update Sorting Acceleration
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2026.paper slides code -
Jinwoo Hwang, Yeongmin Hwang, Tadiwos Meaza, Hyeonbin Bae, Jongse Park
Understanding the Performance Behaviors of End-to-End Protein Design Pipelines on GPUs
IEEE Computer Architecture Letters (CAL), 2026.paper code -
Wonung Kim, Yubin Lee, Yoonsung Kim, Jinwoo Hwang, Seongryong Oh, Jiyong Jung, Aziz Huseynov, Woong Gyu Park, Chang Hyun Park, Divya Mahajan, Jongse Park
Pimba: A Processing-in-Memory Acceleration for Post-Transformer Large Language Model Serving
International Symposium on Microarchitecture (MICRO), 2025.paper slides code -
Jinwoo Hwang, Daeun Kim, Sangyeop Lee, Yoonsung Kim, Guseul Heo, Hojoon Kim, Yunseok Jeong, Tadiwos Meaza, Eunhyeok Park, Jeongseob Ahn, Jongse Park
Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse
International Conference on Very Large Data Bases (VLDB), 2025.paper slides code -
Daeun Kim, Jinwoo Hwang, Changhun Oh, Jongse Park
MixDiT: Accelerating Image Diffusion Transformer Inference with Mixed-Precision MX Quantization
IEEE Computer Architecture Letters (CAL), 2025.paper -
Yoonsung Kim, Changhun Oh, Jinwoo Hwang, Wonung Kim, Seongryong Oh, Yubin Lee, Hardik Sharma, Amir Yazdanbakhsh, Jongse Park
DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video Analytics
International Symposium on Computer Architecture (ISCA), 2024.paper slides talk code -
Minsu Kim, Jinwoo Hwang, Guseul Heo, Seiyeon Cho, Divya Mahajan, Jongse Park
Accelerating String-Key Learned Index Structures via Memoization-based Incremental Training
International Conference on Very Large Data Bases (VLDB), 2024.paper slides code -
Jinwoo Hwang, Minsu Kim, Daeun Kim, Seungho Nam, Yoonsung Kim, Dohee Kim, Hardik Sharma, Jongse Park
CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics
USENIX Annual Technical Conference (ATC), 2022.paper slides talk code