Daniel Hupp

Integrating a Python Dynamical core into ICON

Mauro Bianco, Till Ehrengruber, Enrique Gonzalez Paredes, A. Jocksch et autres

The transition of Earth-system models to exascale is often hindered by rigid, monolithic Fortran codebases and maintenance-heavy compiler directives. While high-level DSLs offer a solution, they frequently fail due to cumbersome integration. We present the integration of a Python-based ICON dynamical core …

A Python Dynamical Core for Numerical Weather Prediction

Daniel Hupp, Mauro Bianco, Anurag Dipankar, Till Ehrengruber et autres

MeteoSwiss uses the ICON model to produce high-resolution weather forecasts at kilometre scale, with GPU support enabled through an OpenACC-based Fortran implementation. While effective, this approach limits portability, maintainability, and development flexibility. Within the EXCLAIM project, we focus on the dynamical core …

ch (code pays fourni par la source)

Operational numerical weather prediction with ICON on GPUs (version 2024.10)

Xavier Lapillonne, Daniel Hupp, Fabian Gessler, André Walser et autres

Numerical weather prediction and climate models require continuous adaptation to take advantage of advances in high-performance computing hardware. This paper presents the port of the ICON model to GPUs using OpenACC compiler directives for numerical weather prediction applications. In the context of …

ch, us, de (code pays fourni par la source)

Toward exascale climate modelling: a python DSL approach to ICON's (icosahedral non-hydrostatic) dynamical core (icon-exclaim v0.2.0)

Anurag Dipankar, Mauro Bianco, Mona Bukenberger, Till Ehrengruber et autres

A refactored atmospheric dynamical core of the ICON model implemented in GT4Py, a Python-based domain-specific language designed for performance portability across heterogeneous CPU-GPU architectures, is presented. Integrated within the existing Fortran infrastructure, the new GT4Py dynamical core is shown to exceed ICON …

ch, us, gb (code pays fourni par la source)

Toward Exascale Climate Modelling: A Python DSL Approach to ICON’s (Icosahedral Non-hydrostatic) Dynamical Core (icon-exclaim v0.2.0)

Anurag Dipankar, Mauro Bianco, Mona Bukenberger, Till Ehrengruber et autres

Abstract. A refactored atmospheric dynamical core of the ICON model implemented in GT4Py, a Python-based domain-specific language designed for performance portability across heterogeneous CPU-GPU architectures, is presented. Integrated within the existing Fortran infrastructure, the GT4Py core achieves throughput slightly exceeding the optimized …

ch, us (code pays fourni par la source)

Operational numerical weather prediction with ICON on GPUs (version 2024.10)

Xavier Lapillonne, Daniel Hupp, Fabian Gessler, André Walser et autres

Abstract. Numerical weather prediction and climate models require continuous adaptation to take advantage of advances in high-performance computing hardware. This paper presents the port of the ICON model to GPUs using OpenACC compiler directives for numerical weather prediction applications. In the context …

ch, us, de (code pays fourni par la source)

ICON NWP on GPUs

Marek Jacob, Dmitry Alexeev, Remo Dietlicher, Victoria Cherkas et autres

Weather prediction centers are always looking for the best computational performance for their numerical weather prediction (NWP) model, given their financial budget. Over the last decades, most centers relied on computer systems with scalar x86 architectures. This, however, might not be the …

de, gb, ch (code pays fourni par la source)

Quantifiable Resilience Analytics of Power Grids by Simulating Power Flows

Daniel Hupp, Tomáš Hrúz, Ralf Mock

New challenges are expected to emerge for the operation of power grids and associated power flows from the growing use of renewable energies and the increasing demand of electricity due to the electrification of mobility. Current stability considerations of power grid under …

ch (code pays fourni par la source)

Comparison of Parallel Time-Periodic Navier-Stokes Solvers

Peter Arbenz, Daniel Hupp, Dominik Obrist

ch (code pays fourni par la source)

A Parallel Space-Time Solver for the Navier–Stokes Equations with Periodic Forcing

Daniel Hupp

Many problems in science and engineering are driven by time-periodic forces.In fluid dynamics, this occurs for example in turbines, rotors or in human blood flow.These problems are described by the Navier-Stokes equations.The traditional way to solve them is to use a time-stepping …

A parallel Navier–Stokes solver using spectral discretisation in time

Daniel Hupp, Peter Arbenz, Dominik Obrist

We investigate the performance of a multi-harmonic space–time approach to solve time-periodic flow problems. It employs a Fourier spectral discretisation of the time domain. The resulting large system of nonlinear equations is solved iteratively and in parallel. For illustration, a three-dimensional channel …

ch (code pays fourni par la source)

A Parallel Multigrid Solver for Time-Periodic Incompressible Navier–Stokes Equations in 3D

Pietro Benedusi, Daniel Hupp, Peter Arbenz, Rolf Krause

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