Suchergebnisse

EuroHPC workshop "Preparing the European Pre-exascale procurement", 31 January 2018, Brussels (BE) ; ESiWACE has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 675191

Session: ESiWACE: What is special about HPC computing for weather and climate? Event Type: Birds of a Feather Day: 26 June 2018 Location: ISC2018, Frankfurt (DE) Time: 08:30-09:30 Room: Kontrast * Title of the workshop: What makes climate computing special? * Short description of the event: BOF session at ISC 2018 * info on target audience: scientific community * draft agenda: as an attachment here below * invited speakers * Organisers: Reinhard Budich and Oliver Perks ; ESiWACE has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 675191

Presentation held at the EGU 2017, on 23-28 April 2017, EGU 2017, Vienna (AT) ; ESiWACE has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 675191

This deliverable discusses options and plans for transferring the ESiWACE activity into sustainable services for the community. ESiWACE consists of two kinds of activities: explicit and specific actions, for which we have milestones and deliverables, and a more implicit set of activities which revolve around collaboration and setting and achieving shared objectives. Key to both sorts of activities is the set of stakeholders – partners in the activities and objective definition, and users, both within partner institutions and elsewhere. ; ESiWACE has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 675191

The 6th ENES HPC workshop for climate and weather was hosted as a virtual event by DKRZ during the week from May 25th to May 29th, 2020. The series of ENES HPC workshops is being organised by the "ENES HPC-Task Force" with workshops taking place roughly every two years. Based on previous ENES HPC workshops in Lecce (2011 & 2018), Toulouse (2013 & 2016) and Hamburg (2014), this year's event had originally been planned as an on-site event for about 100 participants. Finally, the (now virtual) workshop brought together over 180 scientists from the fields of earth system modelling, informing them about the latest developments in high performance computing (HPC) and fostering a mutual exchange, also involving HPC experts. Talks were structured in four sessions focusing on: "Very high-resolution modelling", "Performance portability", "Machine learning for parameterisation schemes" and "Challenges in exascale data processing and visualisation". ; ESiWACE has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 823988

ESiWACE answers to European Comission's questions on HPC involvement. ; ESiWACE has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 675191

Summary This deliverable reports about the HPC (High-Performance Computing) workshop, which was held in Toulouse on April 6 and 7 in 2016. The report explains how this workshop relates, and builds upon, preceding workshops organized under the infrastructure project called IS-ENES2 (ENES stands for "European Network for Earth-System modelling"). The agenda of the workshop, as well as the list of attendees, are parts of this deliverable. Indications are also given about the way it is presently envisaged to exploit and further disseminate the results of the workshop. ; This project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 675191

The community of Earth system modelling has a strong interest to reach a horizontal resolution of about 1km for ensemble simulations with global coupled weather and climate models. Within the ESiWACE project, we have demonstrated that 1 km simulations with global atmosphere models are technically feasible (see ESiWACE Deliverable D2.1). However, we are still far from being able to run a 1 km coupled ensemble in an operational mode even if some of the fastest supercomputers that are currently available are used. This deliverable presents a concise roadmap that lays out the technical work, and the financial and organisational framework that is needed to run ensembles of Earth system models (ESM) at 1km resolution with enough throughput to perform operational weather forecasts and climate projections. ; ESiWACE has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 675191

Abstract The ICON framework has been considered for the use in global high-resolution, atmosphere-only weather and climate simulations. Focus was put on two scenarios: • an aqua-planet experiment using ECHAM physics and • a realistic full-world simulation scenario in the context of numerical weather prediction. Both scenarios were investigated at various grid resolutions and compute settings. The experiments—based on the partition compute2 of supercomputer Mistral—suggest that ICON is expected to deliver good scalability for global high-resolution simulations up to 1.2km when filling up to 70-100 horizontal grid cells (depending on the number of vertical grid levels used) per compute core. The main bottlenecks of the "computational workflow" for high-resolution simulations were found in the creation of initial data and external parameters for the large-scale runs, as well as in writing output; the latter is due to processing large amounts of data (200GB per time slice in a 2.5km globally resolved simulation) and is subject to reimplementation and improvement with regard to using asynchronous I/O on distributed memory systems. About this document Work package in charge: WP 2 Scalability Actual delivery date for this deliverable: 1 August 2017 Dissemination level: PU (for public use) Lead author: Deutsches Klimarechenzentrum GmbH (DKRZ): Philipp Neumann Other contributing authors: Deutsches Klimarechenzentrum GmbH (DKRZ): Joachim Biercamp, Irina Fast, European Centre for Medium-Range Weather Forecasts (ECMWF): Peter Bauer, Max-Planck-Institut für Meteorologie (MPI-M): Matthias Brück, Thorsten Mauritsen, Leonidas Linardakis, Deutscher Wetterdienst (DWD): Daniel Klocke ; This project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement No 675191