The AI Web Café provides the users with possibilities to participate virtually in live sessions with experts on specific AI domain or areas of interests. FocusCoE project will participate with the following three CoEs: RAISE, CoeC, and HiDALGO. 

This session aims to bring together the Centers of Excellence in AI sectors to explain how HPC technologies can help AI. Several case studies will be presented on how AI is leveraging HPC technologies to solve real-live problems. Opportunities and challenges in the AI sector will be discussed, how the Centres of Excellence can help to tackle them thanks to HPC technologies and which opportunities are emerging. It is a good opportunity to get a common understanding of the ongoing activities within the different CoEs and foster collaboration opportunities, including education and training offered by Centres of Excellence.

The following session aims to bring together the Centers of Excellence in AI sectors to discuss about the opportunities and challenges in the sector, how the Centres of Excellence can help to tackle them thanks to HPC technologies and which opportunities are emerging. It is a good opportunity to get a common understanding of the ongoing activities within the different CoEs and foster collaboration opportunities. Register now

Agenda

1.  FocusCoE Introduction

2.  CoEs

  • CoE RAISE – AI in Scientific Workflows on High-Performance Computers (Andreas Linterman) – 15 min

The presentation will provide an overview of the challenges tackled by CoE RAISE and bring examples from two use cases with simulation and data-processing background.

  • CoEC – AI for future energy system  (Temistocle Grenga) – 15 min

The presentation will provide an overview of CoEC and to show how AI is allowing to overcome problems from scientific applications that were not possible to attack with a theoretical models

  • HiDALGO – Generating directed Social Network Graphs (Christoph Schweimer) – 15 min.

The Social Networks (SN) Use Case in the HiDALGO project simulates the spread of information in SN such as Facebook or Twitter. Since the user data in these networks is highly sensitive and must be carefully taken care of, we developed a method to synthesize social network graphs, replicating several topological and algorithmic graph features on which information dissemination can be simulated.

3.  Panel Discussion

4.  Q&A

Speakers

Temistocle Grenga (CoEC)

Temistocle Grenga is a group leader and researcher at the Institute for Combustion Technology (ITV) at RWTH Aachen University (Germany) since 2018. Previously he was at the University of Notre Dame (USA), where he received his PhD degree in aerospace and mechanical engineering, and at Princeton University (USA). His work focuses on numerical simulation and modeling of multiphase turbulent reacting flows. He coordinates ITV activities at CoEC.

Andreas Linterman (RAISE)

Lintermann coordinates CoE RAISE since 2020 and leads the Simulation & Data Lab “Highly Scalable Fluids & Solids Engineering” at the Jülich Supercomputing Centre, Forschungszentrum Jülich, Germany, since 2014. He received his diploma degree in computer science and his PhD degree in engineering from RWTH Aachen University, Germany. His group develops multi-physics codes in the field of engineering and combines them with novel AI technologies making use of modular supercomputing architectures.

Christoph Schweimer (HiDALGO)

Christoph Schweimer joined the Know-Center as a Data Scientist in 2019 to work in the HiDALGO project on AI-related tasks which support the workflow of the use cases. He received his M.Sc. in mathematics from the University of Salzburg in 2017.

Register now here: https://www.ai4media.eu/aicafe/ai-cafe-how-can-hpc-technologies-help-ai/

The 6th ECCOMAS Young Investigators Conference YIC2021 will take place from July 7th through 9th, 2021 at Universitat Politècnica de València, Spain. The main objective is to bring together in a relaxed environment young students, researchers and professors from all areas related with computational science and engineering, as in the previous YIC conferences series organized under the auspices of the European Community on Computational Methods in Applied Sciences (ECCOMAS). Participation of senior scientists sharing their knowledge and experience is thus critical for this event. 
Daniel Mira, CoEC coordinator and BSC senior researcher, presents “Assessment of chemical source term splitting strategies for finite rate combustion” at the 6th ECCOMAS Young Investigators Conference (YIC2021) on 7-9 July 2021 at at Universitat Politècnica de València, Spain.
The EU-funded projects HiDALGO and ESIWACE kindly invite you to a joint online workshop on “Tackling Global challenges with HPC, HPDA and simulations” (Wednesday, 7th till Friday, 9th July 2021). The three-days workshop will bring together researchers and industry from the HPC area to exchange views and to learn more about how high performance computing (HPC) can be used to support dealing with issues of today’s world, e.g. climate change, energy, migration, air pollution, social media. All sessions are designed as practical presentations, training, hands-on experience, demonstrations, and plenary sessions For further information and registration, please contact Ludger Benighaus (lbenighaus@dialogik-expert.de). Participation is free of charge, but registration is mandatory
CompBioMed Conference will return on 15-17th September 2021, in the online vFairs conference platform and will again address all aspects of the rapidly burgeoning domain of computational biomedicine, from genome through organ to whole human and population levels, embracing data driven, mechanistic modelling and simulation, machine learning and combinations thereof. Our theme for 2021 is: Building the Virtual Human:How to bring experimental research into your digital twin. We will be welcoming contributions from academic, clinical and industrial participants alike. The conference is organised by the CompBioMed Centre of Excellence (CoE) in Computational Biomedicine, aimed at nurturing and promoting the uptake and exploitation of high performance computing within the biomedical modelling community.

HPC as a strategic tool to increase European competitiveness entails investment not only in infrastructure, applications and R&D, there is also a strong need to invest in skills development of the labour force underpinning the ecosystem. As EuroHPC realises the emergence of new HPC systems and national competence centres across Europe, there is a growing need to examine how HPC skills development activities will co-evolve. This workshop focuses on the HPC education and training landscape among the EU13 Member States, with individual talks on existing programmes, target communities and industries, and future perspectives. It will be of general interest to HPC education and training stakeholders in learning more about an important part of the European ecosystem which will translate into better planning of future skills development initiatives.

Programme

13:30 – 13:40     “Welcome, HPC Education and Training – Landscape and Perspectives of EU13 Member States” – Simon Wong

13:40 – 14:30     Panel: Perspectives from EU13 Member States – Moderator: Simon Wong

14:30 – 15:00     Coffee break

15:40 – 15:55     Panel: Perspectives from EU13 Member States – Moderator: Simon Wong

15:55 – 16:00     Wrap-up and farewell

 

Please register here: https://events.prace-ri.eu/event/1018/page/114-registration

Hosted by FocusCoE, this workshop within the EuroHPC Summit Week 2021 will include a first introductory part with a the HPC competence centers followed by a discussion panel titled “Applications Support in EuroHPC – Status and Future“.

Programme

13:30 – 13:40 FocusCoE welcome and introduction Guy Lonsdale (Scapos)
13:40 – 14:30 Preparing European Applications for the Exascale Era – Successes and Perspectives from the HPC Centres of Excellence Edouard Audit, CEA & EoCoE
14:30 – 15:00 Coffee break
15:00 – 15:55 Panel: Applications Support in EuroHPC – Status and Future

 Subtitle: „Centres of Excellence in Context“

Panelists:

Elisa Molinari, Univ. Modena & MAX, RIAG

Sinead Ryan, Trinity College Dublin & INFRAG

Edouard Audit, CEA & EoCoE

Bastian Koller, HLRS & Excellerat, EuroCC/CASTIEL

Joost VandeVondele, CSCS & MAX, RIAG, PRACE 

Daniel Opalka, EuroHPC

Juan Pelegrin, European Commission

Moderator: Erwin Laure, MPCDF & FocusCoE
15:55 – 16:00 Wrap-up and farewell Guy Lonsdale (Scapos)

Register to this event here: https://na.eventscloud.com/ereg/newreg.php?eventid=559438&

Organised jointly by the H2020 projects IS-ENES3 and ESiWACE2, the workshop will be virtual, from the 16th to 18th March 2021 (3.5h per day).

The aim of this workshop is to bring together climate scientists and experts from academia and industry to share knowledge and experience and to identify new opportunities in the areas of machine learning, artificial intelligence and big data techniques for Weather and Climate Modelling.

The workshop is organised around three sessions:

– 16 March (Day 1): Views from Domain Science

– 17 March (Day 2): ML/AI Software Technologies

-18 March (Day 3): High performance, Infrastructure and Big data Challenges

You can register here before March 12th, 2021 !

The Platform for Advanced Scientific Computing (PASC) Conference, co-sponsored by the Association for Computing Machinery (ACM) and the Swiss National Supercomputing Centre (CSCS), will be held from July 5 to 8, 2021 at the University of Geneva (Uni Mail), in Geneva, Switzerland. A few HPC CoEs will participate in the following two symposia:

Performance Optimisation and Productivity for EU HPC Centres of Excellence (and all other European Parallel Application Developers Preparing for Exascale), Parts I and II

While parallel applications in all scientific and engineering domains have always been prone to execution inefficiencies that limit their performance and scalability, exascale computer systems comprising millions of heterogeneous processors/cores present a very considerable imminent challenge to be addressed for academia and industry alike.  Ten HPC Centres of Excellence are currently funded by the EU Horizon2020 programme to prepare applications for forthcoming exascale computer systems [https://www.focus-coe.eu/index.php/centres-of-excellence-in-hpc-applications/].  The transversal Performance Optimisation and Productivity Centre of Excellence (POP CoE) [https://www.pop-coe.eu] supports the others, along with the wider European community of application developers, with impartial application performance assessments of parallel execution efficiency and scaling based on a solid methodology analysing measurements with open-source performance tools. This minisymposium introduces the POP services and methodology, summarising results provided to date for over 200 customers with particular focus on those from the HPC CoEs.  Engagements with the HPC CoEs will be reviewed in the introductory presentation, covering climate and weather (ESiWACE), chemistry and materials (BioExcel/MaX), and computational fluid dynamics in engineering (EXCELLERAT).  The CoEs for Computational Biomedicine (CompBioMed [https://www.compbiomed.eu/]), Solid Earth (ChEESE [https://cheese-coe.eu/])  and Energy-oriented applications (EoCoE [https://www.eocoe.eu/]) will then report their experience of collaborating with POP in preparing their flagship codes for exascale. Organizer(s): Marta Garcia-Gasulla (Barcelona Supercomputing Center), and Brian Wylie (Jülich Supercomputing Centre, Forschungszentrum Jülich) Click here to view the video message (Part I). Click here to view the video message (Part II).

Excellerat – Extreme CFD for Engineering Applications, Parts I and II

Computational fluid dynamics is one of the main drivers of exascale computing, both due to its high relevance in today’s world (from nano fluidics up to planetary flows), but also due to the inherent multiscale properties of turbulence. The numerical treatment is notoriously difficult due to the disparate scales in turbulence, and the need for resolving local features. In addition, aspects such as the quantification of (internal or external) uncertainties is becoming a necessity, together with in-situ visualisation/postprocessing. The recent trend in numerical methods goes towards high-fidelity methods (for instance continuous and discontinuous Galerkin) which are suitable for modern computers; however, relevant issues such as scaling, accelerators and heterogeneous systems, high-order meshing and error control, are still far from solved when it comes to largest scale simulations, e.g. in automotive and aeronautical applications. This two part minisymposium brings together eight experts from various international institutions (Europe, America, Japan) to discuss current and future issues of extreme scale CFD in engineering applications, with special focus on accurate CFD methods, and their implementation on current HPC systems. The interaction between participants of the Horizon2020 Centre of Excellence Excellerat and external experts will be particularly fruitful. Organizer(s): Philipp Schlatter (KTH Royal Institute of Technology), and Niclas Jansson (KTH Royal Institute of Technology, RIKEN) Domain: Engineering

A wide range of networking activities has been going on in EoCoE-II, in order to enable the consortium to reach out to key stakeholders and facilitate EoCoE-II’s impacts and large-scale uptake. The need for a specific expertise in exploitation of the project’s results was recognized in EoCoE-I. It was therefore agreed in the consortium that a professional external support was needed to maximize the impact of this activity, implement a methodology select and promote a selection of Key Exploitable Results. To this end, the Italian company META Group, which specializes in maximizing the exploitation of results stemming from research projects, was hired.

This workshop will allow META to present their approach and how they have been working to improve EoCoE’s exploitation of results. The EoCoE researchers whose results have been selected will feature as speakers, to describe how they benefited from this process, and what lessons can be applied to all CoE-related dissemination and exploitation strategy.

More ifnormation: https://indico.math.cnrs.fr/event/6469/