19th Workshop on high performance computing in meteorology

ECMWF (European Centre for Medium-Range Weather Forecasts) jointly with EUMETSAT (European Organisation for the Exploitation of Meteorological Satellites) work together in a project named “European Weather Cloud” (https://www.europeanweather.cloud/). The strategic goal of this initiative is to build and offer a community cloud infrastructure on which Member and Co‐operating States of both...

Maxar was contracted by the European Center for Medium-Range Weather Forecasts (ECMWF) to run a selection of the modeling systems contained in the Real Applications on Parallel Systems (RAPS) on Amazon Web Services (AWS) cloud computing resources. The scope of work was limited to running the ‘high-resolution forecast’ configuration of the atmospheric model Integrated Forecast System (IFS),...

In numerical weather prediction, transition of research to operations often requires extensive computational experiments with cycling data assimilation, where short (6-12 hours) model forecasts are cycled in sequence with data assimilation and data handling tasks. While computationally expensive (~100M CPU hours), these cycling experiments scale poorly (~10,000 CPUs) and have to be performed...

AI2 Climate Modeling is working to improve the FV3GFS weather and climate model using online machine learning parameterizations, and to add GPU capability and improve its useability by porting it to a Python-based domain specific language (DSL). Both these efforts have been greatly facilitated by wrapping the existing Fortran code as a library which can be imported in Python, called...

I will discuss the porting of ECMWF physics code, using the Cloudsc dwarf app as an example, for acceleration on Intel's PVC GPU. The discussion will focus on a SyCL/DPCPP approach, and include questions of architecture and workload mapping relevant to the performance of the target weather code. If time allows I may also explore how the ported code can then be enabled for other hardware targets.

In the talk, we describe the optimization techniques employed to accelerate the performance of a radiation kernel (ACRANEB2) on Intel Xeon Processors. We briefly describe the compute capabilities of latest Intel Processors and implications on HPC application performance. In our performance analysis of ACRANEB2, we have identified two top hot regions involving mathematical functions and...