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GT09 Town Hall Meeting: Calcul, Algorithmes et Données

17–18 oct. 2019
Maison des Sciences de l'Homme, Clermont-Ferrand
Fuseau horaire Europe/Paris

Liste des Contributions

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  1. 20. Introduction
    Volker Beckmann (CNRS / IN2P3)
    17/10/2019 13:00
    • Description of the aim of the prospectives IN2P3
    • Goals of the Town Hall Meeting
    • Explanation of next steps
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  2. 2. Sustainable computing model(s) for IN2P3
    Ghita Rahal (IN2P3/CNRS)
    17/10/2019 13:20

    Tier-model, centralised architecture or data lake approach: which model or mix of models best answers to our scientific requirements?

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  3. 3. Data Organisation Management and Access (DOMA)
    Eric Fede (CC-IN2P3/CNRS)
    17/10/2019 13:40

    First results of DOMA (Data Organisation Management and Access), data lake with xCache, possibility of diskless computing centres

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  4. 4. Heterogeneous infrastructures
    Luisa Arrabito (LUPM)
    17/10/2019 14:00

    The challenge of integrating HPC, accelerators (e.g. GPU) and commercial cloud solutions — is it worth the effort, what should be the focus, what are potential benefits?

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  5. 5. Table ronde: Computing model evolution at IN2P3
    Nadine NEYROUD (LAPP)
    17/10/2019 14:20

    Participants: Luisa Arrabito (LUPM), Sabine Crépé-Renaudin (LPSC), Dominique Fouchez (CPPM), Fabrice Jammes (LPC), Pierre-Etienne Macchi (CC-IN2P3)

    Moderated discussion of the above topics and questions.
    - What is the impact of experiment’s centralized or distributed computing models at the French level?
    - What about heterogeneity/complexity of supported solutions/experiments?
    - Is...

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  6. 16. Development of ML for Particle Physics. Training and CS collaboration.
    Julien Donini (UBP/LPC/IN2P3)
    17/10/2019 15:35
  7. 17. Development of ML for Astroparticle Cosmology
    Dr Emille Ishida (LPC-UCA)
    17/10/2019 16:00
  8. 18. Fast ML application and implementation
    Vladimir Gligorov (LPNHE)
    17/10/2019 16:25
  9. 19. Table ronde: What ML development is the most appropriate for an IN2P3-wide approach, beyond exchange of experience ?
    Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3)
    17/10/2019 16:50

    Does it make sense to push for advancement in Machine Learning on the institute level, or are problems/solutions too specific for each project and lab? What does this mean for the effort on training and recruitement?

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  10. 1. Internet of Things — a key topic for IN2P3?
    David SARRAMIA (LPC Clermont-Ferrand)
    17/10/2019 17:35

    Distributed detectors and control systems are a reality in IN2P3 experiments (accelerators, telescope arrays, KM3NeT,...). What are the possible benefits in a coordinated IoT effort, e.g. in combination with Machine Learning, and shall this be a key element of the perspectives?

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  11. 6. Virtualisation and academic clouds
    Vincent Breton (CNRS-IN2P3)
    18/10/2019 09:00

    Virtualisation is not only interesting for small and medium size projects, but also in general a way to preserve and share workflows. Benefits and drawback of academic clouds, such as the ones provided through France Grilles.

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  12. 7. Table ronde: How to better coordinate between the different domains?
    Maude LE JEUNE (APC)
    18/10/2019 09:20

    Participants: Vincent Breton (LPC), Eric Chassande-Mottin (APC)

    Solutions for WLCG and large projects are not necessarily applicable for a wide range of smaller projects within IN2P3. How can we better satisfy the different needs, how should this be coordinated and what should be the focus?

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  13. 8. Portability of code
    David Chamont (LAL - IN2P3 - CNRS)
    18/10/2019 09:50

    What can be the way forward in using accelerators (GPU, FPGA) and HPC in our field? Is dedicated re-coding necessary, or are abstraction layer libraries like alpaka, kokkos, SYCL the way forward?

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  14. 9. FPGA (Field-Programmable Gate Array)
    Jean-Baptiste Sauvan (LLR)
    18/10/2019 10:10

    Challenges and benefits in the usage of FPGAs

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  15. 10. Quantum Computing
    Bogdan Vulpescu (Laboratoire de Physique de Clermont)
    18/10/2019 11:00

    Status and possible impact of Quantum Computing for our sciences

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  16. 11. Table ronde: Emerging technologies — shall we lead or shall we follow?
    M. Rodolphe Clédassou (IN2P3)
    18/10/2019 11:20

    Participants: Catherine Biscarat (L2IT), Gilles Grasseau (LLR), Bogdan Vulpescu (LPC)

    Emerging technologies, like Quantum Computing, provide a large potential but also a great risk. Shall IN2P3 engage actively in these domains as contributor / developer, or rather observe the field and enter as a user in a later stage?

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  17. 13. Open Data: motivation, challenges and solutions
    Eric Chassande-Mottin (CNRS AstroParticule et Cosmologie)
    18/10/2019 11:50

    The pressure on the scientific community, to provide open access to data derived in their experiments, is rising (e.g. loi numerique, plan national science ouverte). How do we respond to that, what changes are necessary?

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  18. 12. Software development and quality
    Antoine Pérus (Cnrs/In2p3/Lal)
    18/10/2019 12:10

    WLCG and space projects impose strict quality assurance for developers. What are key points here? What could be the benefit for other, smaller projects to impose standards, rules, etc. Should IN2P3 provide centralised solutions and services in this context?

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  19. 14. Table ronde: Future effort: focused or wide open?
    Laurent Duflot (LAL)
    18/10/2019 12:30

    Participants: L. Arrabito (LUPM), F. Derue (LPNHE), E. Ishida (LPC), A. Moller (LPC), P. Verdier (IN2P3)

    Throughout the topics (computing model, ML, emerging technologies) a main question is whether we should focus our activities on a few, central projects and topics (WLCG, large astroparticle projects) and find solutions for those, or whether a broader approach should be taken. This is...

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  20. 15. Summary & Outlook
    Volker Beckmann (CNRS / IN2P3)
    18/10/2019 13:10

    Short summary of the main topics raised during the Town Hall Meeting and outlook on the next steps to arrive at the final "Prospective Calcul & Données".

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