HEP Software Foundation Workshop

Contribution List

50. HSF Project Discussion Session

Benedikt Hegner (CERN)

5/2/16, 10:30 AM

Project Support in HSF

49. Introduction

5/2/16, 2:00 PM

0. HSF Status

Pere Mato Vila (CERN)

5/2/16, 2:10 PM

HSF Status

Achievements since SLAC workshop

27. Community White Paper: a roadmap for the HSF?

Peter Elmer (Princeton University (US))

5/2/16, 2:35 PM

HSF Status

13. Future Conditions DB

Andrea Formica (CEA/IRFU,Centre d'etude de Saclay Gif-sur-Yvette (FR))

5/2/16, 3:00 PM

News from Projects

14. AIDA2020 WP3

Frank-Dieter Gaede (Deutsches Elektronen-Synchrotron (DE))

5/2/16, 3:15 PM

News from Projects

28. DIANA/HEP

Peter Elmer (Princeton University (US))

5/2/16, 3:30 PM

News from Projects

30. Knowledge Base

Torre Wenaus (Brookhaven National Laboratory (US))

5/2/16, 3:45 PM

News from Projects

31. WikiToLearn

Riccardo Giulio Iaconelli (Universita & INFN, Milano-Bicocca (IT))

5/2/16, 4:00 PM

News from Projects

12. Bioconductor: Open software for Bioinformatics

Wolfgang Huber (EMBL)

5/2/16, 4:45 PM

Learning from Other Communities

26. Netherlands eScience Center

Daniela Remenska (NIKHEF (NL))

5/2/16, 5:05 PM

Learning from Other Communities

29. Depsy

Jason Priem (Impactstory)

5/2/16, 5:25 PM

Learning from Other Communities

16. Introduction

David Rousseau (LAL-Orsay, FR), Dr Jean-Roch Vlimant (California Institute of Technology (US))

5/3/16, 9:00 AM

Machine Learning

34. Deep Learning Implications for HEP Software & Computing

Amir Farbin (University of Texas at Arlington (US))

5/3/16, 9:05 AM

Machine Learning

17. Report from openLab ML workshop

Maria Girone (CERN)

5/3/16, 9:35 AM

Machine Learning

18. TMVA, Root-R, Root SciKit-learn

Lorenzo Moneta (CERN)

5/3/16, 10:00 AM

Machine Learning

20. Everware and yandex' rep

Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))

5/3/16, 10:25 AM

Machine Learning

19. Experience with Theano/Keras

Michela Paganini (Yale University (US))

5/3/16, 11:10 AM

Machine Learning

23. Open Data

Kati Lassila-Perini (Helsinki Institute of Physics (FI))

5/3/16, 11:35 AM

Machine Learning

24. Open Sim : ACTS, A Common Tracking Software

Andreas Salzburger (CERN)

5/3/16, 12:00 PM

Machine Learning

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)

5/3/16, 12:25 PM

Machine Learning

35. Challenges and beyond, RAMP (ML oriented hackathon platform)

Balázs Kégl (Linear Accelerator Laboratory)

5/3/16, 2:00 PM

RAMP

48. Introduction

Dr Patrick Gartung (Fermilab (US))

5/3/16, 2:00 PM

Packaging

36. Codalab, a challenge platform on MS Azure

Isabelle Guyon

5/3/16, 2:25 PM

RAMP

37. Anomaly Detection : setting the stage

5/3/16, 2:40 PM

RAMP

38. Anomaly Detection : hands on

5/3/16, 3:00 PM

RAMP

41. ALICE

David Rohr (Johann-Wolfgang-Goethe Univ. (DE))

5/4/16, 9:00 AM

Software Performance

40. ATLAS

Graeme Stewart (University of Glasgow (GB))

5/4/16, 9:15 AM

Software Performance

42. CMS

David Lange (Princeton University (US))

5/4/16, 9:30 AM

Software Performance

45. Astro

Mr Iffrig Olivier (CEA/Irfu/AIM)

5/4/16, 9:45 AM

Software Performance

44. Root

Pere Mato Vila (CERN)

5/4/16, 10:00 AM

Software Performance

46. Geant

John Apostolakis (CERN)

5/4/16, 10:15 AM

Software Performance

47. Art/LArSoft

Jim Kowalkowski (Fermilab), Marc Paterno (Fermi National Accelerator Laboratory (FNAL)), Marc Paterno (Fermilab)

5/4/16, 10:30 AM

Software Performance

39. Panel discussion

5/4/16, 11:15 AM

Software Performance

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.

8. New Initiatives

5/4/16, 2:00 PM

HSF Next Steps

Follow-up on workshop discussions/plans, community roadmap, SW&C journal...

32. Community Roadmap

5/4/16, 3:00 PM

HSF Next Steps

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

9. Wrap-Up

5/4/16, 4:00 PM

HSF Next Steps

22. Challenges and beyond, RAMP (ML oriented hackathon platform)

Balázs Kégl (Linear Accelerator Laboratory)

21. Codalab, a challenge platform on MS Azure

Isabelle Guyon

5. Concurrency and New Architectures

1. Feedback from the Experiments

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.

43. LHCb

Software Performance

7. Licensing

Discussion around licensing after the release of the Technical Note first version: uncovered use cases, projects with concrete issues...

4. Machine Learning

David Rousseau (LAL-Orsay, FR)

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))

10. Mini-Workshop/Hackaton Summaries

6. Project Incubator

Discussion with projects on next step for the HSF project incubator

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.

11. Test