2 papers
cs.LG2025
Improving the Stability of GNN Force Field Models by Reducing Feature Correlation
Yujie Zeng, Wenlong He, Ihor Vasyltsov +4
Recently, Graph Neural Network based Force Field (GNNFF) models are widely used in Molecular Dynamics (MD) simulation, which is one of the most cost-effective means in semiconducto…
cs.LG2024
Breaking MLPerf Training: A Case Study on Optimizing BERT
Yongdeok Kim, Jaehyung Ahn, Myeongwoo Kim +11
Speeding up the large-scale distributed training is challenging in that it requires improving various components of training including load balancing, communication, optimizers, et…