AISys Lab. ECE, Seoul National University

Search for Jaeyong Song's papers on the Publications page

I am a graduate student in the Dept. of Electrical and Computer Engineering (ECE) at Seoul National University. My research interests are systems and architectures for AI, such as distributed AI systems and AI accelerators. I’m also interested in all system- and architecture-related researches :)


Publication

1 indicates co-first authors.

Piccolo: Large-Scale Graph Processing with Fine-Grained In-Memory Scatter-Gather
Changmin Shin, Jaeyong Song, Hongsun Jang, Dogeun Kim, Jun Sung, Taehee Kwon, Jae Hyung Ju, Frank Liu, Yeonkyu Choi, Jinho Lee
International Symposium on High-Performance Computer Architecture (HPCA)   ·   Mar 2025   ·   To appear
GraNNDis: Fast Distributed Graph Neural Network Training Framework for Multi-Server Clusters
Jaeyong Song, Hongsun Jang, Hunseong Lim, Jaewon Jung, Youngsok Kim, Jinho Lee
The International Conference on Parallel Architectures and Compilation Techniques (PACT)   ·   Oct 2024   ·   To appear
A Case for In-Memory Random Scatter-Gather for Fast Graph Processing
Changmin Shin1, Taehee Kwon1, Jaeyong Song, Jae Hyung Ju, Frank Liu, Jinho Lee
IEEE Computer Architecture Letters (CAL)   ·   Mar 2024   ·   10.1109/LCA.2024.3376680
PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor
Jaewon Jung, Hongsun Jang, Jaeyong Song, Jinho Lee
Computer Vision and Pattern Recognition Conference (CVPR)   ·   Mar 2024   ·   10.48550/arXiv.2403.06668
AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping
Seongyeon Park, Junguk Hong, Jaeyong Song, Hajin Kim, Youngsok Kim, Jinho Lee
ACM Annual Symposium on Principles and Practice of Parallel Programming (PPoPP)   ·   Feb 2024   ·   10.1145/3627535.3638474
Pipette: Automatic Fine-Grained Large Language Model Training Configurator for Real-World Clusters
Jinkyu Yim1, Jaeyong Song1, Yerim Choi, Jaebeen Lee, Jaewon Jung, Hongsun Jang, Jinho Lee
Design, Automation and Test in Europe Conference (DATE)   ·   Mar 2024   ·   10.23919/DATE58400.2024.10546826
Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System
Hongsun Jang, Jaeyong Song, Jaewon Jung, Jaeyoung Park, Youngsok Kim, Jinho Lee
Best Paper Award-Honorable Mention, International Symposium on High-Performance Computer Architecture (HPCA)   ·   Mar 2024   ·   10.1109/HPCA57654.2024.00034
Pipe-BD: Pipelined Parallel Blockwise Distillation
Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)   ·   Apr 2023   ·   10.23919/DATE56975.2023.10137044
Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression
Jaeyong Song1, Jinkyu Yim1, Jaewon Jung, Hongsun Jang, Hyung-Jin Kim, Youngsok Kim, Jinho Lee
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2   ·   Jan 2023   ·   10.1145/3575693.3575712
SGCN: Exploiting Compressed-Sparse Features in Deep Graph Convolutional Network Accelerators
Mingi Yoo1, Jaeyong Song1, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)   ·   Feb 2023   ·   10.1109/HPCA56546.2023.10071102
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators
Mingi Yoo1, Jaeyong Song1, Hye Yoon Lee, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
PACT (Best Paper Award)   ·   Oct 2022   ·   10.1145/3559009.3569693
Making a Better Use of Caches for GCN Accelerators with Feature Slicing and Automatic Tile Morphing
Mingi Yoo1, Jaeyong Song1, Jounghoo Lee, Namhyung Kim, Youngsok Kim, Jinho Lee
IEEE Computer Architecture Letters   ·   Jul 2021   ·   10.1109/LCA.2021.3090954
Fast Adversarial Training with Dynamic Batch-level Attack Control
Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, Jinho Lee
Design Automation Conference (DAC)   ·   Jul 2023   ·   10.1109/DAC56929.2023.10247930

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