Search

This document feeds research and development priorities devel-oped by the European HPC ecosystem into EuroHPC’s Research and Innovation Advisory Group with an aim to define the HPC Technology research Work Programme and the calls for proposals included in it and to be launched from 2023 to 2026. This SRA also describes the major trends in the deployment of HPC and HPDA methods and systems, driven by economic and societal needs in Europe, taking into account the changes ex-pected in the technologies and architectures of the expanding underlying IT infrastructure. The goal is to draw a complete picture of the state of the art and the challenges for the next three to four years rather than to focus on specific technologies, implementations or solutions. Peer Reviewed Article signat per 140 autors/autores: Estela Suarez,JSC; Nico Mittenzwey, MEGWARE; Laurent Cargemel, Atos; Alessandro Russo, Leonardo; Andy Forrester, HypeAccelerator Solutions Limited; Carlo Cavazzoni, Leonardo; Craig Prunty, SiPearl; Daniele Cesarini, Cineca; David Tur, Do IT Now; Fabrizio Magugliani, E4 Computer Engineering SpA; Marc Casas, BSC; Rene Oertel, MEGWARE Computer Vertrieb und Service GmbH; Sergio Sánchez, Vicomtech; Thierry Porcher, Do IT Now; Marc Duranton, CEA / HiPEAC; Sakir Sezer, NVIDIA; Craig Prunty, SIPEARL; Alessandro Russo, Leonardo; Dirk Pleiter, KTH; Luigi Capone, Leonardo; Marco Cicala, E4 Computer Engineering SpA; Osman Unsal, BSC; Paolo Amato, Micron; Petar Radojkovic, BSC; Rod Evans, NVIDIA; Thierry Porcher, Do IT Now; Xavier Martorell, BSC; Manolis Marazakis, FORTH; Maria Perez, UPM / BDVA; Pascale Rossé-Laurent, Atos; Alberto Miranda, BSC; Alberto Scionti, LINKS Foundation; Alessandro Russo, Leonardo; David Tur, Do IT Now; Denis Maggi, Vicomtech; Georgios Goumas, ICCS; Ina Schmitz, ParTec; Jordi Guitart, BSC; Julita Corbalan, BSC; Michele Martone, LRZ; Nico Mittenzwey, MEGWARE; Nicolo Magini, Leonardo; Paolo Viviani, LINKS Foundation; Rene Oertel, MEGWARE Computer Vertrieb und Service GmbH; Sebastien Varrette, University of Luxembourg; Thierry Porcher, Do IT Now; Thomas Moschny, Par-Tec, Guy Lonsdale, SCAPOS; Paul Carpenter, BSC; Gabriel Antoniu, INRIA (BDVA); Alexander Costan, INSA Rennes/Inria; Ani Anciaux Sedrakian, IFPEN; Antonio Peña, BSC; Antonio Sciarappa, Leonardo; Christian Perez, INRIA; Francesco Iannone, ENEA; Jose Gracia, HLRS; Leonardo Arturo Bautista Gomez, BSC; Luigi Capone, Leonardo; Miguel Vasquez, BSC; Olivier Marsden, ECMWF; Paolo Viviani, LINKS Foundation; Patrick Carribault, CEA; Sebastien Varrette, University of Luxembourg; Vicenc Beltran, BSC; Xavier Martorell, BSC; Andre Brinkmann, JGU – Mainz; Sai Narasimhamurthy, Seagate; Anna Queralt, BSC; Jean-Thomas Acquaviva, DDN Storage; Jesús Carretero Pérez, UC3M; Nicolo Magini, Leonardo Labs; Paolo Amato, Micron; Philippe Deniel, CEA; Ramon Nou, BSC; Tiago Quintino, ECMWF; Dirk Pleiter, KTH; Utz-Uwe Haus, HPE; Adrian Tate, NAG; Ani Anciaux Sedrakian, IFPEN; Antonio Sciarappa, Leonardo Labs; Chiara Vercellino, LINKS Foundation; Dario Garcia-Gasulla, BSC; Giovanni Samaey, KU Leuven; Luigi Capone, Leonardo; Marcin Chrust, ECMWF; Maximilian Behr, Northern Data AG, Olivier Beaumont, INRIA; Ricard Borrell, BSC; Ulrich Ruede, CERFACS/FAU; Ward Melis, KU Leuven; Erwin Laure, MPCDF; Andreas Wierse, SICOS; Bruno Raffin, INRIA; Carlo Cavazzoni, Leonardo; Guillaume Houzeaux, BSC; Ioan Hadade, ECMWF; Kim Serradell Maronda, BSC; Luigi Capone, Leonardo; Miguel Vasquez, BSC; Ricard Borrell, BSC; Sabri Pllana; Sinead Ryan, Trinity College Dublin; Vicence Beltran, BSC; Hans-Christian Hoppe, ParTec; Jens Krueger, FRAUNHOFER; Alberto Scionti, LINKS Foundation; Ander Garcia, Vicomtech; Anna Queralt, BSC; Benjamin Depardon, UCit; Craig Prunty, SIPEARL; Daniela Ghezzim, Leonardo S.p.a.; Daniele Piccarozzi, Arm; David Carrera, BSC; Philippe Bricard, UCit; Thierry Goubier, CEA; Venkatesh Kannan, ICHEC; Valeria Bartsch, FRAUNHOFER; Cyril Allouche, Atos; Kristel Michelsen, JSC; Andrea Scarabosio, Links Foundation; Artur Garcia, BSC; Chayma Bouazza, PASQAL; Daniele Dragoni, Leonardo; Daniele Gregori, E4 Computer Engineering SpA; Daniele Ottaviani, Cineca; David Bowden, Dell Technologies; David Tur, Do IT Now; Dennis Hoppe, High-Performance Computing Center Stuttgart; Fabrizio Magugliani,E4 Computer Engineering SpA; Filippo Palombi, ENEA; Giacomo Vitali, LINKS Foundation; Guillaume Colin de Verdière, CEA; Jean-Philippe Nominé, CEA; Leonardo Arturo Bautista Gomez, BSC; Mikael Johansson, CSC; Olivier Terzo, LINKS Foundation; Osman Unsal, BSC; Vekatesh KannanI, CHEC; Erwin Laure, MPCDF; Andreas Wierse, SICOS; Bruno Raffin, INRIA; Carlo Cavazzoni, Leonardo; Guillaume Houzeaux, BSC; Ioan Hadade, ECMWF; Kim Serradell Maronda, BSC; Luigi Capone, Leonardo; Miguel Vasquez, BSC; Ricard Borrell, BSC; Sabri Pllana Sinead Ryan, Trinity College Dublin; Vicence Beltran, BSC; Hans-Christian Hoppe, ParTec; Jens Krueger, FRAUNHOFER; Alberto Scionti, LINKS Foundation; Ander Garcia, Vicomtech; Anna Queralt, BSC; Benjamin Depardon, UCit; Craig Prunty, SIPEARL; Daniela Ghezzi, Leonardo S.p.a.; Daniele Piccarozzi, Arm; David Carrera, BSC; Philippe Bricard, UCit; Thierry Goubier, CEA; Venkatesh Kannan, ICHEC; Valeria Bartsch, FRAUNHOFER; Cyril Allouche, Atos; Kristel Michelsen, JSC; Andrea Scarabosio, Links Foundation; Artur Garcia, BSC; Chayma Bouazza, PASQAL; Daniele Dragoni, Leonardo Daniele Gregori, E4 Computer Engineering SpA; Daniele Ottaviani, Cineca; David Bowden, Dell Technologies; David Tur, Do IT Now; Dennis Hoppe, High-Performance Computing Center Stuttgart; Fabrizio Magugliani, E4 Computer Engineering SpA; Filippo Palombi, ENEA; Giacomo Vitali, LINKS Foundation; Guillaume Colin de Verdière, CEA; Jean-Philippe Nominé, CEA Leonardo; Arturo Bautista Gomez, BSC, Mikael Johansson, CSC; Olivier Terzo, LINKS Foundation; Osman Unsal, BSC; Vekatesh KannanI; Utz-Uwe Haus (HPE); Sai Narasimhamurthy (Seagate); Maria S. Perez (UPM); Dirk Pleiter (KTH); Andreas Wierse (SICOS); Paul Carpenter (BSC); Utz-Uwe Haus (HPE); Erwin Laure (MPCDF); Sai Narasimhamurthy (Seagate Systems); Estela Suarez (Forschungszentrum Jülich); Manolis Marazakis (FORTH); Marc Duranton (CEA); Dirk Pleiter (KTH); Giuliano Taffoni (INAF); Hans-Christian Hoppe (Scapos AG); Gabriel Antoniu (Inria); Patrick Valduriez (Inria); Hans-Christian Hoppe (SCAPOS); Jens Krüger (Fraunhofer ITWM); Andreas Wierse (Sicos BW); François Bodin (Inria); Sagar Dolas (SURF); Damien Gratadour (Université Paris Diderot); Michael Malms (ETP4HPC); Leonieke Mevus (SURF); Pascale Rossé-Laurent (Atos); Jean-Robert Bacou (Atos); Carlos Puchol (BSC); Kristel Michielsen (JSC); Tiina Leiponen (CSC); Carlo Cavazzoni (Leonardo), Ivan Spisso (Leonardo); Maike Gilliot (ETP4HPC); Hans-Christian Hoppe (Scapos); Guy Lonsdale (ETP4HPC Steering Board / Fraunhofer / Scapos / FocusCoE); Fabrizio Magugliani (ETP4HPC Steering Board / E4 Computer Engineering); Jean-Philippe Nominé (ETP4HPC Steering Board / CEA); Andreas Wierse (SICOS); Pascal Bouvry (University of Luxembourg); Daniela Posch (SICOS); Gilles Civario (Intel); Henri Calandra (TotalEnergies & PRACE IAC); Vincent Galinier (Airbus & PRACE IAC); Xavier Vigouroux (Atos); Alban Rousset (LuxProvide); Michael Schlottke-Lakemper (HLRS); Carolina Berucci (Leonardo), Erwin Laure, Carolina Berucci (Leonardo)

The Conditional Moment Closure (CMC), devised for turbulent combustion modelling, was implemented in the multiphysics code Alya, based on the Finite Element Method (FEM), in the frame of Large Eddy Simulations (LES) for unstructured meshes. A multi-code approach has been developed to run separately the transport equations for non-reacting variables (CFD) and the conditioned quantities (CMC) in two different meshes. The fundamental aspects of the algorithm are discussed while a new strategy for the interpolation between CFD and CMC meshes is described. The Cambridge swirling burner is analysed and simulations results are compared to measurements. The research leading to these results has received funding from the Clean Sky 2 Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme under the ESTiMatE project, grant agreement No 821418.

This work investigates the accuracy and performance of a FE2 multi-scale implementation used to predict the behavior of composite materials. The equations are formulated assuming the small deformations solid mechanics approach in non-linear material models with hardening plasticity. The uniform strain boundary conditions are applied for the macro-to-micro transitions. A parallel algorithm was implemented in order to solve large engineering problems. The scheme proposed takes advantage of the domain decomposition method at the macro-scale and the coupling between each subdomain with a micro-scale model. The precision of the method is validated with a composite material problem and scalability tests are performed for showing the efficiency.

In this contribution, preliminary results on the study of the VIV at high Reynolds numbers are presented. First, a validation of the code and the turbulent LES WALE formulation in conjunction with a low-dissipative discretization is presented by means of the study of the smooth static cylinder at sub-critical and critical regimes: Re = 1.1 x 10 4 and and Re = 3 x 10 5. Finally, some results of the forced damped oscillating cylinder for the Re = 1.1 x 10 4 case are shown. One of the main objectives of this project is to analyse how the movement of the cylinder affects the sub-critical and critical regimes and the influence of this changes in the aerodynamics forces at high Reynolds numbers present in industrial applications.

Domain decomposition methods (DDM) are often chosen to precondition sparse linear systems of equations, as they are famous to well-improve the convergence of iterative solvers. But at the same time, they are difficult to implement and can be computationally expensive. In this work a new mesh numbering to adapt preconditioning techniques to the physics of different problems is proposed as an alternative to DDM preoconditioning.

This work presents a parallel iterative method for numerical solving frictionless contact problem for two elastic bodies. Each iterative step consists of a Dirichlet problem for the one body and a Neumann problem for the other in order to enforce the contact boundary conditions.

A first version of a cardiovascular coupled model is presented. The modelling tools are Alya, the BSC tool for biomechanical simulations; and ADAN55, the LNCC model of the arterial blood flow. The former solves the heartbeat by Finite Element Method (FEM). The latter is a 1D model of the arterial blood flow in a 55-branched geometry. Previous generations of the involved models had fixed boundary conditions. With this novel tool a feedbacked cardiac-vascular model is obtained, offering more physiological boundary conditions and providing further insight in the cardiac-systemic interactions.

The presented study is a preliminary test and analysis of the role of trabeculae and papillary muscles in the hemodynamics of the left ventricle (LV).

In this work we present a methodology to extract information from medical imaging and use it for hemodynamical simulation in arteries. Based on in-vivo magnetic resonance images (MRI), the velocity of the blood flow has been measured at different positions and times. Also, the anatomy of the vessel has been converted into a volume mesh suitable for numerical modeling. This data has been used to solve computationally the dynamics of the fluid inside the artery in healthy and pathologic cases. As an application, we have developed a computational model within the carotids. The next step in the pipeline will be to extend the simulation to fluidstructure interaction (FSI) to find the parameters in an atherosclerotic plaque that could lead to rupture.