Training Sprint


The EuroCC & CASTIEL2 "Training Sprint" initiative is designed to quickly disseminate the expertise and abilities of CoEs. These training events target individuals from academia and industry who stand to gain from high-performance computing.

October 28 - 29
EXCELLERAT P2: Scientific Visualization

This course organized by EXCELLERAT P2, in collaboration with: NCC Germany

This course is targeted at researchers with basic knowledge in numerical simulation, who would like to learn how to visualize their simulation results on the desktop but also in Augmented Reality and Virtual Environments. The two-day workshop gives a short overview over scientific visualization in general, followed by a hands-on introduction to 3D desktop visualization with VISTLE (webpage on the EXCELLERAT P2 service portal) and COVISE. Participants will further learn how to build interactive 3D Models for Virtual Environments and how to set up an Augmented Reality visualization.

October 15
The RAMSES code for structure formation in the Universe

This series organized by SPACE, in collaboration with: NCC Czechia, NCC Austria,  UNITO, CNRS-CRAL, INAF, LMU, and UiO

The training is addressed to researchers working in the field of fluid dynamics as well as astrophysicists interested in structure formation in general. We will first present the main features of the RAMSE code, as well as its current scalability. We will then highlight the science than can be done with RAMSES using Tier0 resources. Last, we will discuss our work-plan to improve the performance of the code.


September 12 - 13
ESiWACE3: GPU optimization with Kernel Tuner

The National Competence Center for HPC in Austria is organizing this 2 half-day training together with ESiWACE3, the Centre of Excellence in simulation of weather and climate in Europe. With expertise in earth system modelling, software design, and high-performance computing, ESiWACE3 is supporting scientists on the path to exascale computing.

This training is about Kernel Tuner, a tool for automatic optimization of GPU code, developed by a team from ESiWACE3. As a new development, Kernel Tuner adds support for mixed precision and tuning accuracy, which comes in addition to the existing functionality of tuning parameters and code optimizations for compute performance and/or energy efficiency. The first day of the training will focus on getting to know the tool, where as the second day is all about (energy) efficient computing on GPUs.


May 28 - July2
SPACE: PLUTO, OpenGadjet and ChanGa. Four Free online Training Events about Astrophysical and Cosmological Simulation Codes

This series organized by SPACE, in collaboration with: NCC Czechia, NCC Austria,  UNITO, CNRS-CRAL, INAF, LMU, and UiO

July 2

The ChaNGa code and the Charm++ framework

The training is addressed to researchers interested in HPC and the challenges that astrophysics codes present when scaling towards exa-scale. We will discuss both the benefits and difficulties of the ChaNGa code and the Charm++ framework. We will also discuss recent and future improvements of the code.

June 18

The OpenGadget code for Cosmological Simulations

The training is addressed to HPC experts from all domains interested in evolving their codes to “exa-scale”. The audience will benefit from the training, discovering how a different community is solving computational problems and implementing algorithms. Conversely, the benefits for the speakers will come from the audience observations, discussions, suggestions, and even error spotting.

May 28

Recent Advances on PLUTO GPU Development and Astrophysical Applications

The training is addressed to researchers working in the field of HPC as well as astrophysicists interested in plasma astrophysics and fluid dynamics in general. We aim at sharing our recent achievements on PLUTO GPU to a larger community in order to foster discussions and possible solutions to common problems and implementation bottlenecks.


June 19 - 21
MaX: Materials and Molecular Modelling with QUANTUM ESPRESSO

This School organized by MaX, in collaboration with: NCC Czechia, NCC Austria, NCC Slovakia, NCC Slovenia, NCC Poland and NCC Hungary

The course encompasses a comprehensive curriculum designed to cover the primary features of the Quantum ESPRESSO code. The emphasis is on practical skill development. The course strikes a balance between theory and application, offering a hands-on learning experience. It caters to a beginner to intermediate level, aiming to equip participants with the fundamental knowledge and skills necessary for the effective utilization of QUANTUM ESPRESSO in their research and academic pursuits. 

The school is designed for participants with a background in condensed matter physics or chemistry interested in learning to use Quantum ESPRESSO.

The school plans to cover the main features of the code and provide basic user skills such as compilation, simple scripting, choice of parallel options, and similar.


May 13 - 14
ChEESE: Tsunami and Meteo-Tsunami Modelling

ChEESE Tsunami and Meteo-Tsunami Modelling Training Course aims to provide the participants with the knowledge and numerical tools required to perform the mathematical modelling and numerical simulation of tsunamis and meteo-tsunamis. A brief theoretical overview on the processes and mechanisms producing this kind of natural events will be first provided. Then, the European flagship code, Tsunami-HySEA, will be used to simulate various tsunami and meteo-tsunami events. Tsunami-HySEA solves the 2D shallow water equations on hydrostatic and dispersive versions. Based on a high-order Finite Volume (FV) discretisation (hydrostatic) with Finite Differences (FD) for the dispersive version on two-way structured nested meshes in spherical coordinates. Meteo-HySEA is a version of Tsunami-HySEA code able to include meteorological forcing (atmospheric pressure and wind stress) as input, more precisely as boundary conditions.

The training course will include an introduction to tsunami and meteo-tsunami modelling, the basics of the numerical code used and the required data. The course will also tackle pre-process and post-process strategies based on Python scripts.


Attendees can only download, make and retain a copy of the materials for their use for non‐commercial and research purposes. The User may not commercially use the material unless has been granted prior written consent by the Licensor.

Further information:

This webinar, crafted by the ChEESE Equality Committee, welcomes participation from all EuroHPC Centers of Excellence and other interested parties.


May 7
Machine learning prototype for SPACE applications

This course organized by SPACE, in collaboration with: NCC Czechia, NCC Austria,  UNITO, CNRS-CRAL, INAF, LMU, and UiO

The objective of this webinar is to present the prototype of a machine learning tool to enable the exploration, analysis, and interpretation of the outputs of large-volume cosmological simulations using Representation Learning techniques. The tool efficiently learns a low-dimensional representation of the structure of simulated galaxies in arbitrary physical components, uncovering their intrinsic structural distribution. It also provides an interactive hierarchical visualization of the entire simulation and its compact representation, and scales to arbitrarily large simulations beyond the Exascale era.