Hongsun Jang

According to our database, Hongsun Jang authored at least 8 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

Pipette: Automatic Fine-Grained Large Language Model Training Configurator for Real-World Clusters.

Jinkyu Yim, Jaeyong Song, Yerim Choi, Jaebeen Lee, Jaewon Jung, Hongsun Jang, Jinho Lee

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor.

Jaewon Jung, Hongsun Jang, Jaeyong Song, Jinho Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

GraNNDis: Fast Distributed Graph Neural Network Training Framework for Multi-Server Clusters.

Jaeyong Song, Hongsun Jang, Hunseong Lim, Jaewon Jung, Youngsok Kim, Jinho Lee

Proceedings of the 2024 International Conference on Parallel Architectures and Compilation Techniques, 2024

2023

GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters.

Jaeyong Song, Hongsun Jang, Jaewon Jung, Youngsok Kim, Jinho Lee

CoRR, 2023

Pipe-BD: Pipelined Parallel Blockwise Distillation.

Hongsun Jang, Jaewon Jung, Jaeyong Song, Joonsang Yu, Youngsok Kim, Jinho Lee

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Fast Adversarial Training with Dynamic Batch-level Attack Control.

Jaewon Jung, Jaeyong Song, Hongsun Jang, Hyeyoon Lee, Kanghyun Choi, Noseong Park, Jinho Lee

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression.

Jaeyong Song, Jinkyu Yim, 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, 2023