The HEP Software Foundation had its first formative workshop at SLAC in January 2015. That workshop led to the establishment of HSF activity areas in the topics of greatest community interest identified at the workshop, with an organization following the model of a community-driven "do-ocracy". Since then, these activities have developed and new opportunities present themselves.
The HSF held its second workshop May 2-4 2016 at LAL in Orsay (near Paris, France), with two main elements. The first element, following SLAC, was a plenary gathering with talks and discussion on progress to date and future plans, how to garner greater participation, new initiatives and projects, and guest speakers from the open software community. The second element consisted of focused mini-workshops and hackathons, in areas of current or potential HSF activity that are of broad interest and relevance, with hands-on objectives.
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During this session, we'll present what is avaible at HSF to help projects, in partcular new ones, and discuss what could be useful for HSF to do.
Following various recent HEP and ML workshops (for example http://cern.ch/DataScienceLHC2015) , this session focusses on issues around Machine Learning : how to allow HEP physicists to do cutting edge Machine Learning and foster collaboration with Machine Learners ?
Spack Hackathon - the Packaging Working Group identified spack ( https://github.com/LLNL/spack ) as a potential candidate for a HEP-wide build and packaging solution. During this session we will have a closer look at features important or unique to HEP. To see whether spack indeed fullfils all requirements of our community.
Suppose you have two datasets which are supposed to be identical. For example MC production v1, MC production v2; data of yesterday, data of today. How to detect differences ? This is done typically by comparing rates, or manually defined histograms. How to do this in an automatized, Machine Learning way ? The objective will be to detect differences between two datasets, identical except for introduced manipulations. The RAMP platform allows participants to collaborate to achieve this goal.
To ease organisation, please register specifically for this session on that indico page .
Participants will use their laptop, where Anaconda should be installed, and need to register to the RAMP site.
Please check detailed instructions on the attached README file, preferably before the workshop. All inquiries concerning the RAMP should be sent to hsf2016.ml.ramp@gmail.com.
This session will be in parallel with other sessions.
G4 technical forum at Orsay will be 90 minutes, 45 minutes of introductory presentations by Geant4 developers on recent new features and near future deliverables, followed by 45 minutes of users’ presentations on their status/issues/requirements. This technical forum meeting is open to anybody including HSF members who have nothing to do with Geant4, to see as a model case how a software project would interact with its user community. We expect user participation would not be limited to HEP but also from nuclear physics, space and medical applications, material science, and if we are lucky from security.
Agenda and connection details for the G4 Technical Forum are in a separate Indico page.
Restaurant La Baleine - 47 Rue Cuvier, 75005 Paris
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.