Yongwon Shin Graduate student @ POSTECH AI


I’m graduate student in Graduate School of Artificial Intelligence at POSTECH. I’m interested in developing a compiler and runtime for modern heterogeneous systems.

Our lab is in Advance Computing Systems Group. Lab homepage is at CODE Lab.



[ICCAD 2023] Multi-Objective Architecture Search and Optimization for Heterogeneous Neuromorphic Architecture (Accepted)
Juseong Park, Yongwon Shin, Hyojin Sung

[ICCAD 2023] PRIMO: A Full-Stack Processing-in-DRAM Emulation Framework for Machine Learning Workloads (Accepted)
Jaehoon Heo, Yongwon Shin, Sangjin Choi, Sungwoong Yune, Junghoon Kim, Hyojin Sung, Youngjin Kwon, Joo-Young Kim

[CGO 2023] PIMFlow: Compiler and Runtime Support for CNN Models on Processing-in-Memory DRAM [PDF] [Slide]
Yongwon Shin*, Juseong Park*, Sungjun Cho, and Hyojin Sung
Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization (CGO'23), February 25 - March 1, 2023, Montréal, QC, Canada. (*co-first authors)

[CAL 2022] Runtime Support for Accelerating CNN Models on Digital DRAM Processing-in-Memory Hardware
Yongwon Shin, Juseong Park, Jeongmin Hong, and Hyojin Sung
IEEE Computer Architecture Letters, vol. 21, no. 2, pp. 33-36, 1 July-Dec. 2022.

[LCPC 2021] Hybrid Register Allocation with Spill Cost and Pattern Guided Optimization [Slide]
Yongwon Shin, and Hyojin Sung
Languages and Compilers for Parallel Computing. LCPC 2021. Lecture Notes in Computer Science, vol 13181. Springer, Cham.


Email: ywshin@postech.ac.kr