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HEP Software Foundation Workshop

2–4 May 2016
LAL
Europe/Zurich timezone

Contribution List

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  1. 50. HSF Project Discussion Session
    Benedikt Hegner (CERN)
    02/05/2016, 10:30
  2. 49. Introduction
    02/05/2016, 14:00
  3. 0. HSF Status
    Pere Mato Vila (CERN)
    02/05/2016, 14:10
    Achievements since SLAC workshop
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  4. 27. Community White Paper: a roadmap for the HSF?
    Peter Elmer (Princeton University (US))
    02/05/2016, 14:35
  5. 13. Future Conditions DB
    Andrea Formica (CEA/IRFU,Centre d'etude de Saclay Gif-sur-Yvette (FR))
    02/05/2016, 15:00
  6. 14. AIDA2020 WP3
    Frank-Dieter Gaede (Deutsches Elektronen-Synchrotron (DE))
    02/05/2016, 15:15
  7. 28. DIANA/HEP
    Peter Elmer (Princeton University (US))
    02/05/2016, 15:30
  8. 30. Knowledge Base
    Torre Wenaus (Brookhaven National Laboratory (US))
    02/05/2016, 15:45
  9. 31. WikiToLearn
    Riccardo Giulio Iaconelli (Universita & INFN, Milano-Bicocca (IT))
    02/05/2016, 16:00
  10. 12. Bioconductor: Open software for Bioinformatics
    Wolfgang Huber (EMBL)
    02/05/2016, 16:45
  11. 26. Netherlands eScience Center
    Daniela Remenska (NIKHEF (NL))
    02/05/2016, 17:05
  12. 29. Depsy
    Jason Priem (Impactstory)
    02/05/2016, 17:25
  13. 16. Introduction
    David Rousseau (LAL-Orsay, FR), Dr Jean-Roch Vlimant (California Institute of Technology (US))
    03/05/2016, 09:00
  14. 34. Deep Learning Implications for HEP Software & Computing
    Amir Farbin (University of Texas at Arlington (US))
    03/05/2016, 09:05
  15. 17. Report from openLab ML workshop
    Maria Girone (CERN)
    03/05/2016, 09:35
  16. 18. TMVA, Root-R, Root SciKit-learn
    Lorenzo Moneta (CERN)
    03/05/2016, 10:00
  17. 20. Everware and yandex' rep
    Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
    03/05/2016, 10:25
  18. 19. Experience with Theano/Keras
    Michela Paganini (Yale University (US))
    03/05/2016, 11:10
  19. 23. Open Data
    Kati Lassila-Perini (Helsinki Institute of Physics (FI))
    03/05/2016, 11:35
  20. 24. Open Sim : ACTS, A Common Tracking Software
    Andreas Salzburger (CERN)
    03/05/2016, 12:00
  21. 25. Interexperiment Machine Learning group and HSF
    Michele Floris (CERN), Dr Sergei Gleyzer (University of Florida (US)), Steven Randolph Schramm (Universite de Geneve (CH)), Tim Head (The University of Manchester)
    03/05/2016, 12:25
  22. 35. Challenges and beyond, RAMP (ML oriented hackathon platform)
    Balázs Kégl (Linear Accelerator Laboratory)
    03/05/2016, 14:00
  23. 48. Introduction
    Dr Patrick Gartung (Fermilab (US))
    03/05/2016, 14:00
  24. 36. Codalab, a challenge platform on MS Azure
    Isabelle Guyon
    03/05/2016, 14:25
  25. 37. Anomaly Detection : setting the stage
    03/05/2016, 14:40
  26. 38. Anomaly Detection : hands on
    03/05/2016, 15:00
  27. 41. ALICE
    David Rohr (Johann-Wolfgang-Goethe Univ. (DE))
    04/05/2016, 09:00
  28. 40. ATLAS
    Graeme Stewart (University of Glasgow (GB))
    04/05/2016, 09:15
  29. 42. CMS
    David Lange (Princeton University (US))
    04/05/2016, 09:30
  30. 45. Astro
    Mr Iffrig Olivier (CEA/Irfu/AIM)
    04/05/2016, 09:45
  31. 44. Root
    Pere Mato Vila (CERN)
    04/05/2016, 10:00
  32. 46. Geant
    John Apostolakis (CERN)
    04/05/2016, 10:15
  33. 47. Art/LArSoft
    Jim Kowalkowski (Fermilab), Marc Paterno (Fermi National Accelerator Laboratory (FNAL)), Marc Paterno (Fermilab)
    04/05/2016, 10:30
  34. 39. Panel discussion
    04/05/2016, 11:15

    Mail goal is to organize ourselves around activity areas with proto-working groups in these activity areas, with an early objective for these working groups to organize sessions at a follow-on dedicated (and more hands-on than this session can be) software concurrency/performance workshop in a few months.

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  35. 8. New Initiatives
    04/05/2016, 14:00
    Follow-up on workshop discussions/plans, community roadmap, SW&C journal...
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  36. 32. Community Roadmap
    04/05/2016, 15:00
    Discuss possibility and contents of a community roadmap reflecting our computing challenges and that could be used as a reference by projects and in discussion with Funding Agencies
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  37. 9. Wrap-Up
    04/05/2016, 16:00
  38. 22. Challenges and beyond, RAMP (ML oriented hackathon platform)
    Balázs Kégl (Linear Accelerator Laboratory)
  39. 21. Codalab, a challenge platform on MS Azure
    Isabelle Guyon
  40. 5. Concurrency and New Architectures
  41. 1. Feedback from the Experiments
  42. 3. Knowledge Base and Training: Bootstrapping Information Gathering
    Dario Menasce (Universita & INFN, Milano-Bicocca (IT)), Torre Wenaus (Brookhaven National Laboratory (US))
    After an intro/tutorial, in real time gather knowledge base and training content and populate hepsoftware.org knowledge base, and WikiToLearn training/tutorial site.
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  43. 43. LHCb
  44. 7. Licensing
    Discussion around licensing after the release of the Technical Note first version: uncovered use cases, projects with concrete issues...
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  45. 4. Machine Learning
    David Rousseau (LAL-Orsay, FR)
  46. 33. Machine Learning Hackathon (RAMP) on Anomaly Detection
    Balázs Kégl (Linear Accelerator Laboratory), David Rousseau (LAL-Orsay, FR), Dr Jean-Roch Vlimant (California Institute of Technology (US))
  47. 10. Mini-Workshop/Hackaton Summaries
  48. 6. Project Incubator
    Discussion with projects on next step for the HSF project incubator
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  49. 2. SW Packaging: Spack Introduction and Coding Sprint
    Benedikt Hegner (CERN), Elizabeth Sexton-Kennedy (Fermi National Accelerator Lab. (US))
    Spack has received an extremely enthusiastic reception in the HSF packaging group that has looked at 8 or so packaging systems over close to a year of meetings and studies. Spack accordingly could be a useful target for educating the community and bootstrapping tools around it in a focused session and coding sprint.
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  50. 11. Test