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First Computational and Data Science school for HEP (CoDaS-HEP)

from Monday 10 July 2017 (08:30) to Thursday 13 July 2017 (22:00)
Princeton University (407 Jadwin Hall)

        : Sessions
    /     : Talks
        : Breaks
10 Jul 2017
11 Jul 2017
12 Jul 2017
13 Jul 2017
AM
08:30 --- Breakfast ---
09:00 Workshop Welcome and Overview - Peter Elmer (Princeton University (US))   (407 Jadwin Hall)
09:15 Computational and Data Science Challenges - Matthieu Lefebvre (Princeton University (US))   (407 Jadwin Hall)
10:00 Setup on local compute systems   (407 Jadwin Hall)
10:30 --- Coffee Break ---
11:00 Version Control with Git and Github - David Luet (Princeton University)   (407 Jadwin Hall)
08:00 --- Breakfast ---
08:30 Parallel Programming - An introduction to parallel computing with OpenMP - Tim Mattson (Intel)   (407 Jadwin Hall)
10:30 Group Photo - Jadwin Hall plaza   ()
10:40 --- Coffee Break ---
11:00 Parallel Programming - The OpenMP Common Core - Tim Mattson (Intel)   (407 Jadwin Hall)
08:00 --- Breakfast ---
08:30 Parallel Programming - Working with OpenMP - Tim Mattson (Intel)   (407 Jadwin Hall)
10:30 --- Coffee Break ---
11:00 Parallel Programming - The world beyond OpenMP - Tim Mattson (Intel)   (407 Jadwin Hall)
08:00 --- Breakfast ---
08:30 Vector Parallelism for Kalman-Filter-Based Particle Tracking on Multi- and Many-Core Processors - Steven R Lantz (Cornell University (US)) Matevz Tadel (Univ. of California San Diego (US))   (407 Jadwin Hall)
10:30 --- Coffee Break ---
11:00 Introduction to Performance Tuning & Optimization Tools - Ian Cosden (Princeton University)   (407 Jadwin Hall)
PM
12:30 --- Lunch ---
13:30 Floating Point Arithmetic Is Not Real - Matthieu Lefebvre (Princeton University (US))   (407 Jadwin Hall)
14:15 The Use and Abuse of Random Numbers - Daniel Sherman Riley (Cornell University (US))   (407 Jadwin Hall)
15:00 --- Coffee Break ---
15:30 Functional Programming for Data Analysis - Jim Pivarski (Princeton University)   (407 Jadwin Hall)
17:30 --- Welcome Reception ---
12:30 --- Lunch ---
13:30 Machine Learning Technology - Alexey Svyatkovskiy (Princeton University)   (407 Jadwin Hall)
15:00 --- Coffee Break ---
15:30 Machine Learning Technology - Alexey Svyatkovskiy (Princeton University)   (407 Jadwin Hall)
16:15 Machine Learning for Neutrino Physics (Guest Lecture) - Dr Kazuhiro Terao (SLAC)   (407 Jadwin Hall)
18:30 --- Social Mixer - The Nassau Club ---
12:30 --- Lunch ---
13:30 Machine Learning Methods - Alexey Svyatkovskiy (Princeton University)   (407 Jadwin Hall)
15:00 --- Coffee Break ---
15:30 Machine Learning Methods - Alexey Svyatkovskiy (Princeton University)   (407 Jadwin Hall)
16:15 Parallel Charged Particle Tracking Reconstruction (Guest Lecture) - Peter Wittich (Cornell University (US))   (407 Jadwin Hall)
18:00 --- Dinner on your own ---
12:30 --- Lunch ---
13:30 Language Interoperability - Jim Pivarski (Princeton University)   (407 Jadwin Hall)
15:00 --- Coffee Break ---
15:30 Afternoon Session   (407 Jadwin Hall)
16:15
Closing Session (until 17:00) (407 Jadwin Hall)
18:30 --- School Dinner - Trattoria Procaccini ---