This three-day event includes in-depths training on the flagship EoCoE codes and solvers, which focus on HPC simulations applied to energy domains. These codes and solvers are designed and optimized to run on the latest European pre-exascale machines, and will ultimately be scaled to the upcoming exascale systems.
The school is aimed at scientists and researchers from academia and industry from across Europe, it will allow participants to test their mastery of these codes on the EoCoE Software as a Service Portal, using the computing resources of the Poznań Supercomputing and Networking Center (PSNC).
An EoCoE team of researchers from several prominent European research centres will host the training sessions and supervise the work of School participants. This event will focus on material science, weather forecast and climate change plus the software and algorithm expertise.
A strong participation to the EoCoE School will be rewarded with certification and several awards. To evaluate whom this award will go to, participants are asked to describe their goals regarding the EoCoE codes on registration to the School, and also hosts will assess their participation during the sessions.
Agenda and registration at the following link: https://indico3.conference4me.psnc.pl/event/8
HYPERstreamHS inherits the core features of the HYPERstream routing scheme recently presented in the work from Piccolroaz et al. (2016), while improving it by means of a dual-layer MPI framework and the inclusion of explicit modelling of streamflow alterations due to Human Systems (hence, the HS suffix to the model’s name). HYPERstream is a multi-scale streamflow routing method based on the Width Function Instantaneous Unit Hydrograph (WFIUH) approach; this approach has been specifically designed for reliably simulating the relevant horizontal hydrological fluxes preserving the geomorphological dispersion of fluxes and thus being able to perform well at different scales, from a single catchment to the meso-scale
SHEMAT-Suite is a finite-difference open-source code for simulating coupled flow, heat and species transport in porous media. The code, written in Fortran-95, originates from geoscientific research in the fields of geothermics and hydrogeology. It comprises: (1) a versatile handling of input and output, (2) a modular framework for subsurface parameter modeling, (3) a multi-level OpenMP parallelization, (4) parameter estimation and data assimilation by stochastic approaches (Monte Carlo, Ensemble Kalman filter) and by deterministic Bayesian approaches based on automatic differentiation for calculating exact (truncation error-free) derivatives of the forward code.
ParFlow is known as a numerical model that simulates the hydrologic cycle from the bedrock to the top of the plant canopy. The original codebase provides an embedded Domain-Specific Language (eDSL) for generic numerical implementations with support for supercomputer environments (distributed memory parallelism), on top of which the hydrologic numerical core has been built. In ParFlow, the newly developed optional GPU acceleration is built directly into the eDSL headers such that, ideally, parallelizing all loops in a single source file requires only a new header file.
- Earth Science
- Life Science
- Materials Science
- Software Development
Meso-NH is the non-hydrostatic mesoscale atmospheric model of the French research community. It has been jointly developed by the Laboratoire d’Aérologie (UMR 5560 UPS/CNRS) and by CNRM-GAME (UMR 3589 CNRS/Météo-France). Meso-NH:
- Incorporates a non-hydrostatic system of equations, for dealing all scales ranging from large (synoptic) to small (large eddy) scales while calculating budgets;
- Has a complete set of physical parameterizations, particularly advanced for the representation of clouds and precipitation;
- Is coupled to the surface model SURFEX for representing the ground atmosphere interactions by considering different surface types (vegetation, city, ocean, lake);
- Allows for a multi-scale approach through a grid-nesting technique;
- Is a versatile code, vectorized, parallelized, operating in 1D, 2D or 3D designed to handle real situations as well as academic cases;
- Is coupled with a chemistry module (including gas-phase, aerosol, and aqua-phase components) and a lightning module;
- Has observation operators that compare directly model output with satellite observations, radar, lidar and GPS.
ESIAS-Chem is a tool for generating and controlling ultra-large ensembles of chemistry transport models for stochastic integration, exploiting a two-level parallelism, combined with a particle filter data assimilation scheme.
ESIAS-Meteo is a tool for generating and controlling ultra-large ensembles of numerical weather forecast models for stochastic integration, exploiting a two-level parallelism, combined with a particle filter data assimilation scheme.
waLBerla is a massively parallel simulation framework. It contains efficient, hardware specific compute kernels to get optimal performance on today’s supercomputing architectures. waLBerla employs a block-structured partitioning of the simulation domain including support for grid refinement. These grid data structures make it easy to integrate various data parallel algorithms like Multigrid, CG, or phasefield models. waLBerla uses the lattice Boltzmann method (LBM), which is an alternative to classical Navier-Stokes solvers for computational fluid dynamics simulations. All of the common LBM collision models are implemented (SRT, TRT, MRT). Additionally, a coupling to the rigid body physics engine pe is available. waLBerla is written in C++, which allows for modular and portable software design without having to make any performance trade-offs.
KMC/DMC are general purpose programs for the simulation of chemical reactions taking place at crystal surfaces. The used simulation method is a Discrete Event Simulation with continuous time. In the literature this is commonly called a Dynamic Monte Carlo simulation (DMC) or Kinetic Monte Carlo simulation (KMC). The general purpose nature of the program is visible in a clear separation between model and (simulation) method. The simulation model is specified in terms of surface structure and changing patterns, reflecting the reactions taking place at the surface. Several methods can be employed on the model differing only in simulation speed and memory use.