Our MLSys Lab works on connecting the areas of Machine Learning and High Performance Computing.
We are currently conducting research on the following topics:
Our MLSys Lab works on connecting the areas of Machine Learning and High Performance Computing.
We are currently conducting research on the following topics:
Distributed Deep Learning
Optimizing Deep Learning Kernels on GPUs
Efficient AI
Federated Learning
Recommender Systems
For prospective students:
MLSys lab currently has openings for Ph.D. students and passionate master's students with research interests in High-Performance Computing and Distributed Deep Learning.
Please reach out to Prof. Euhyun Moon via email with your CV and transcripts if you are interested in joining the MLSys lab.
August 2025, Our paper titled "D-HAT: Dynamic Hypergraph Representation Learning with Attention-Based Multi-Level Hypergraph Sampling" is accepted to CIKM. Big Congrats, AhHyun!
August 2025, Welcome YeEun to the MLSys Lab!
March 2025, Welcome Sumin, Junha and Kyongmin to the MLSys Lab!
October 2024, Welcome Juhyeon to the MLSys Lab!
September 2024, Welcome Sohyeon and Doyeon to the MLSys Lab!
Our MLsys Lab received the Global Basic Research Grant (글로벌 기초연구실) for "Developing a High-Performance Computing-Data Platform for Accelerating Large-Scale Machine Learning" (National Reserch Foundation of Korea, Co-PI, 2024.08 ~2027.07).
Our MLSys Lab received the Outstanding Young Scientist Grant (우수신진연구) for “Optimizing Distributed Deep Learning and Federated Learning for Accelerating Large-Scale Deep Learning Models” (National Research Foundation of Korea, PI, ₩800,000,000, 2024.04 ~ 2027.03). We are grateful to the NRF for supporting our lab!
April 2024, Our paper titled "Accelerated Block-Sparsity-Aware Matrix Reordering for Leveraging Tensor Cores in Sparse Matrix-Multivector Multiplication" is accepted to Euro-Par. Congrats, Eunji and Yoonsang!
March 2024, Welcome AhHyun, Kisun and Sangwon to the MLSys Lab!
January 2024, Our paper titled "Layer-Wise Sparse Training of Transformer via Convolutional Flood Filling" is accepted to PAKDD. Congrats, Bokyeong!
March 2023, Welcome Yoonsang, Eunji and Suyeon to the MLSys Lab!
January 2022, Our paper on Parallel Training of GRU Networks with a Multi-Grid Solver for Long Sequences was accepted to ICLR!