2 papers
cs.LG2026
Perceive, Route and Modulate: Dynamic Pattern Recalibration for Time Series Forecasting
Siru Zhong, Zhao Meng, Haohuan Fu +3
Local temporal patterns in real-world time series continuously shift, rendering globally shared transformations suboptimal. Current deep forecasting models, despite their scale and…
cs.DC2024
Kilometer-Level Coupled Modeling Using 40 Million Cores: An Eight-Year Journey of Model Development
Xiaohui Duan, Yuxuan Li, Zhao Liu +38
With current and future leading systems adopting heterogeneous architectures, adapting existing models for heterogeneous supercomputers is of urgent need for improving model resolu…