19th Workshop on high performance computing in meteorology

Fugaku was developed with the "application first" philosophy, aiming to achieve up to 100x speedup over its predecessor, the K-computer, while being extremely general purpose via the adoption of the Arm instruction set. In order to attain its performance requirement while being power efficient, the design emphasized low power circuit designs, while realizing extreme high bandwidth via the use...

Particle filters are a major tool used for data assimilation (DA) in climate modeling. The ability to handle a very large number of particles, is critical for high dimensional climate models. The presented approach introduces a novel way of running such DA studies for the example of a particle filter using sequential important resampling (SIR). The new approach executes efficient on latest...

Increasing the resolution of the computational mesh is one of the most effective tools to boost the accuracy of numerical earth system simulations and one of the current core challenges is enabling global sub-km scale simulations. However, increased mesh resolution comes at the cost of increased computational effort and memory consumption. With adaptive mesh refinement (AMR) the resolution can...

Progress in numerical weather and climate prediction accuracy greatly depends on the growth of the available computing power. As the number of cores in top computing facilities pushes into the millions, increased average frequency of hardware and software failures forces users to review their algorithms and systems in order to protect simulations from breakdown.

This talk will discuss...