Ongoing climate change calls for fast and accurate weather and climate modeling. However,
when solving large-scale weather prediction simulations, state-of-the-art CPU and GPU …

Ongoing climate change calls for fast and accurate weather and climate modeling. However,
when solving large-scale weather prediction simulations, state-of-the-art CPU and GPU …

Modern data-intensive applications demand high computational capabilities with strict
power constraints. Unfortunately, such applications suffer from a significant waste of both …

Extreme weather amplified by climate change is causing increasingly devastating impacts
across the globe. The current use of physics-based numerical weather prediction (NWP) …

Regional weather forecasting demands fast simulation over fine-grained grids, resulting in
extremely memory-bottlenecked computation, a difficult problem on conventional …

Code transformations, such as loop tiling and loop fusion, are of key importance for the
efficient implementation of stencil computations. However, their direct application to a large …

In order to profit from emerging high-performance computing systems, weather and climate
models need to be adapted to run efficiently on different hardware architectures such as …

Running high-resolution physical models is computationally expensive and essential for
many disciplines. Agriculture, transportation, and energy are sectors that depend on high …

The algorithms underlying numerical weather prediction (NWP) and climate models that
have been developed in the past few decades face an increasing challenge caused by the …

Numerical weather forecasting on high-resolution physical models consume hours of
computations on supercomputers. Application of deep learning and machine learning …