| Optimus-CC: Efficient large NLP model training with 3D parallelism aware communication compression J Song, J Yim, J Jung, H Jang, HJ Kim, Y Kim, J Lee Proceedings of the 28th ACM International Conference on Architectural …, 2023 | 29 | 2023 |
| Sgcn: Exploiting compressed-sparse features in deep graph convolutional network accelerators M Yoo, J Song, J Lee, N Kim, Y Kim, J Lee 2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023 | 18 | 2023 |
| Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System H Jang, J Song, J Jung, J Park, Y Kim, J Lee 2024 IEEE International Symposium on High-Performance Computer Architecture …, 2024 | 9 | 2024 |
| Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators M Yoo, J Song, H Lee, J Lee, N Kim, Y Kim, J Lee Proceedings of the International Conference on Parallel Architectures and …, 2022 | 7 | 2022 |
| Making a better use of caches for GCN accelerators with feature slicing and automatic tile morphing M Yoo, J Song, J Lee, N Kim, Y Kim, J Lee IEEE Computer Architecture Letters 20 (2), 102-105, 2021 | 6 | 2021 |
| AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping S Park, J Hong, J Song, H Kim, Y Kim, J Lee Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and …, 2024 | 3 | 2024 |
| Pipe-BD: Pipelined parallel blockwise distillation H Jang, J Jung, J Song, J Yu, Y Kim, J Lee 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023 | 3 | 2023 |
| PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor J Jung, H Jang, J Song, J Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
| Pipette: Automatic Fine-grained Large Language Model Training Configurator for Real-World Clusters J Yim, J Song, Y Choi, J Lee, J Jung, H Jang, J Lee 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024 | 1 | 2024 |
| A Case for In-Memory Random Scatter-Gather for Fast Graph Processing C Shin, T Kwon, J Song, JH Ju, F Liu, Y Choi, J Lee IEEE Computer Architecture Letters, 2024 | 1 | 2024 |
| GraNNDis: Fast Distributed Graph Neural Network Training Framework for Multi-Server Clusters J Song, H Jang, H Lim, J Jung, Y Kim, J Lee Proceedings of the International Conference on Parallel Architectures and …, 2024 | | 2024 |
| Fast Adversarial Training with Dynamic Batch-level Attack Control J Jung, J Song, H Jang, H Lee, K Choi, N Park, J Lee 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | | 2023 |
Jinho LeeSeoul National UniversityVerified email at snu.ac.kr
