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
Federated Learning
Efficient AI
Recommender Systems
News
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, ₩800M, 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!
September 2023, Welcome Paul to the MLSys Lab!
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!