This presentation will describe the opportunities and challenges involved in running climate predictions at very high horizontal resolution. The scaling of the EC-Earth code with the highest resolution possible and the solutions adopted to handle the large output from the different model components (ocean, atmosphere, land and sea ice), typical of climate simulations will be discussed. The submission and monitoring system (Autosubmit) that allows the execution of climate simulations on different platforms in a transparent way for the user will be introduced. Autosubmit acts as a wrapper over the queue system and HPC scheduler and allows an efficient execution of the experiments by pooling together several ensemble members and/or start dates, all independent parallelized climate simulations, in a single multi-thousand core MPI job.
10 years of EasyBuild, and the Road Ahead
Accelerating Earth diagnostics and metrics with Python
HPCKP (High-Performance Computing Knowledge Portal) is an Open Knowledge project focused on technology transfer and knowledge sharing in the HPC Science field.