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ORCIDChangmin Shin 0002
Person information
- affiliation: Seoul National University, Seoul, Korea
Other persons with the same name
- Changmin Shin 0001
![[0000-0003-1576-1235]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1576-1235")
— Electronics and Telecommunications Research Institute, Daejeon, Korea - Changmin Shin 0003 — KAIST, Daejong, Korea
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2020 – today
- 2026
[c4]Hongsun Jang, Jaeyong Song, Changmin Shin, Si Ung Noh, Jaewon Jung, Jisung Park, Jinho Lee:
A Cost-Effective Near-Storage Processing Solution for Offline Inference of Long-Context LLMs. ASPLOS (2) 2026: 5-24- [c3]Junguk Hong, Changmin Shin, Sukjin Kim, Si Ung Noh, Taehee Kwon, Seongyeon Park, Hanjun Kim, Youngsok Kim, Jinho Lee:
LoCaLUT: Harnessing Capacity-Computation Tradeoffs for LUT-Based Inference in DRAM-PIM. HPCA 2026: 1-16 - 2025
- [c2]Changmin Shin, Jaeyong Song, Hongsun Jang, Dogeun Kim, Jun Sung, Taehee Kwon, Jae Hyung Ju, Frank Liu, YeonKyu Choi, Jinho Lee:
Piccolo: Large-Scale Graph Processing with Fine-Grained in-Memory Scatter-Gather. HPCA 2025: 641-656 - [c1]Changmin Shin, Jaeyong Song, Seongmin Na, Jun Sung, Hongsun Jang, Jinho Lee:
FALA: Locality-Aware PIM-Host Cooperation for Graph Processing with Fine-Grained Column Access. MICRO 2025: 1520-1534 - [i3]Hongsun Jang, Si Ung Noh, Changmin Shin, Jaewon Jung, Jaeyong Song, Jinho Lee:
INF2: High-Throughput Generative Inference of Large Language Models using Near-Storage Processing. CoRR abs/2502.09921 (2025) - [i2]Changmin Shin, Jaeyong Song, Hongsun Jang, Dogeun Kim, Jun Sung, Taehee Kwon, Jae Hyung Ju, Frank Liu, YeonKyu Choi, Jinho Lee:
Piccolo: Large-Scale Graph Processing with Fine-Grained In-Memory Scatter-Gather. CoRR abs/2503.05116 (2025) - [i1]Seongyeon Park, Jaeyong Song, Changmin Shin, Sukjin Kim, Junguk Hong, Jinho Lee:
FlexiWalker: Extensible GPU Framework for Efficient Dynamic Random Walks with Runtime Adaptation. CoRR abs/2512.00705 (2025) - 2024
- [j1]Changmin Shin, Taehee Kwon, Jaeyong Song, Jae Hyung Ju, Frank Liu, YeonKyu Choi, Jinho Lee:
A Case for In-Memory Random Scatter-Gather for Fast Graph Processing. IEEE Comput. Archit. Lett. 23(1): 73-77 (2024)
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