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Paolo Calafiura, Steven Farrell
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Present: Giuseppe, Jim K, Maria, Paolo, Mayur, Steve, Pietro, Prabhat

News:


Paolo:

  • we have submitted FWPs for LBL and FNAL (includes CalTech). We should receive all funds we asked for in our proposal in a single payment in FY16 (two weeks left).

  • Early “technical” goals:

    • Name the project - currently x-cut-hep-tracking : (MS suggestion) HEP-TrkX  or HEP.TrkX  (X standing for exploration and cross-cut!) 23.09.2016

    • Common sw repository - currently bitbucket  → Maria to have a look and make a proposal -- Created repository https://github.com/cmscaltech/HEP.TrkX

      • (MS) Need everyone’s git account userid to add you

    • Shared dropbox/cernbox - currently google drive

      • Caltech box  (MS) made an are in Box (50GB) and added Paolo to test how this works

        • Prabhat: also for data?

        • Good question, would work up to small sizes. Also we need to address data curation (see our proposal).

          • → Jim K to propose solution for data

    • Project web page. Volunteers?


    • → Maria undergrad will look into this

      • (MS) Will have the web page ready this weekend

  • Shared platform to run our codes?

    • Like lxplus, NERSC?(would need to apply for time this weekend), …

      • Prabhat recommends that Paolo put in an ERCAP allocation

        • 1M core hours on Cori Phase II and/or Edison

        • Call out DOE grant and sponsoring PM

        • Call out that you will utilize NERSC production ML/DL libraries

    • Prabhat: What software frameworks is the team planning on using? (Theano, Caffe, TensorFlow, CNTK, Torch)

      • Crucial point.

      • Also having the ability to scale-up to big learning apps is crucial

      • Suggest to put in a small NERSC ERCAP request this weekend.

    • Maria: helped Brazilian group setup early-access to Intel tools. Wonder if it is the same access NERSC has. (the “Early Adopter Program” to receive servers with advanced tech) -- In negotiation to find out more about this deal soon

      • Maria is preparing a system with 16 GTx1080 on SuperMicro servers-- ready in Oct and for SC16 (MS)

Kickoff Workshop:

  • Two/three days before the end of the year

    • Proposed dates, not yet vetoed:

      • After CHEP:  Oct 17-19 (@LBL?)

        • Tue afternoon?

        • Wed afternoon during visit workshop

      • Before/after SC16(Nov 12-18),

        • Thursday 17 - Friday 18?

      • Standalone  (Caltech offered to host, FNAL would prefer to host).

(http://dolcit.cms.caltech.edu/scmls/ another ML workhosp at Caltech, Nov 18)
Some weeks that should work for Paolo:

  • Oct 17

  • Oct 24

  • Nov 4-5 @ Caltech would for Maria, may help with travel restrictions.

    • Also at Fermi

  • Nov 7 (I don’t get to vote…NOOOOO)

  • Nov 28

  • Dec 5 (if need be)

  • Dec 12 (too late)

JBK cannot do Nov 4-5,  Nov 1-3 works, FNAL would be a great place for the workshop (MS lets do it at FNAL Nov 1-3!)

  • Goals:

    • Get to know the team!

    • Review/update long-term goals listed in proposal also in view of reviewers feedback (when we get it!)

    • Define short-term goals (three-six months) in some detail. Probably include:

      • Generate both toy and “realistic” HL-LHC tracking data samples

      • Put together baseline and/or “state-of-the-art” solution(s) for seeding and tracking

        • Both could rely on aCTS infrastructure

        • Agree on quality metrics

      • Start experimenting with several ML techniques on toy samples.

      • Possible presentations/publications

    • Agree on software process (code management, testing, issue management)

    • Hackathons/teach-ins. For example:

      • aCTS simulation

      • Parallel CKF

      • NN training and testing with tensorflow (caffe, theano, you name it...)

    • Invite external collaborators (PCKF, aCTS)

Progress Reports:

Steve:

  • ACTS workflow setup for producing track data of varying complexity (e.g., no mag field, fewer layers) in order to explore limitations of our RNN models

Mayur:

  • Fitting LSTMs to tracks that are 1-Dimensional before moving on to 3D (LHC) data

  • Generating various trajectories as shown below

  • Understanding LSTM mechanics, limitations and features



  • Mayur will link his working document on this

  • Prabhat: is there LSTM expertise in our group

    • Maria: Jean Roch and students have done a project with LSTMs this summer.

    • Jim: mostly with summer students, using RNNs for signal processing.


Maria: Caltech will start in October. Will meet with Pietro and other to coord Caltech activities/situation. MS Have not met with Pietro and Yisong yet bc of DOE matters this week

Jim K: met with Lindsay and Giuseppe last week


Other news from Caltech (09.23.2016): one of MS grad students, Dustin Anderson has decided to become a data scientist  after graduation. He is at CERN and will get back to Caltech in Dec. He will start spending time on ML and he has already done some v serious technical work on setting up distributive NPI architecture with JR (who spoke with Jim abotu this). I foresee engagement in our project. Also Javier Duarte (former student who just defended)  has started as Lederman Fellow at FNAl and he is terrific -- we discussed he would join from FNAL side. On the side of Caltech I some have administrative issues but Panagiotis is helping.




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