19th Workshop on high performance computing in meteorology

Earth-System models traditionally use double-precision, 64 bit floating-point numbers to perform arithmetic. According to orthodoxy, we must use such a relatively high level of precision in order to minimise the potential impact of rounding errors on the physical fidelity of the model. However, given the inherently imperfect formulation of our models, and the computational benefits of lower...

In the past few years the Barcelona Supercomputing Center has been involved in different european projects which aimed to optimize the computational performance of oceanographic state of the art models. In this framework we developed, and successfully applied, a tool able to automatically identify the numerical precision required for each real variable present in a given Fortran code.

We...

Supercomputer Fugaku, which is developed by RIKEN and Fujitsu, is the first supercomputer in the history receiving the first prizes in three major supercomputers’ ranking, TOP500, HPCG, and Graph500 at the same time in June 2020. It also received the first prize in the HPL-AI ranking. Fugaku is holding four prizes for three consecutive terms now.
Fujitsu’s commercial product PRIMEHPC FX1000...

I will present the new HPC and HSM systems at DKRZ which will go into operation mid 2021 and end of 2020 respectively.
Special focus will lie on the Cooperation between Bull/ATOS and DKRZ to evaluate the potential of GPGPUs for the second phase of the new system.

With the Frontier and El Capitan systems on the horizon, ExaFLOP-sized systems have now become a reality. Manufacturers, HPC users, and with especial interest from weather community, are all now investigating how to most easily leverage hardware, software, and toolchains in order to scale problems and codes across this new generation of systems.

In this presentation the AMD HPC Centre of...

The high-performance computing landscape today is varied and complex with a wide range of both hardware and software technologies available. Given the size, longevity and performance requirements of weather and climate models, this landscape and its continuing evolution presents a problem: it is simply not feasible to repeatedly re-write a model every time a new supercomputer or programming...