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

from Monday, July 10, 2017 (8:30 AM) to Thursday, July 13, 2017 (10:00 PM)
Princeton University (407 Jadwin Hall)

        : Sessions
    /     : Talks
        : Breaks
Jul 10, 2017
Jul 11, 2017
Jul 12, 2017
Jul 13, 2017
AM
8:30 AM --- Breakfast ---
9:00 AM Workshop Welcome and Overview - Peter Elmer (Princeton University (US))   (407 Jadwin Hall)
9:15 AM Computational and Data Science Challenges - Matthieu Lefebvre (Princeton University (US))   (407 Jadwin Hall)
10:00 AM Setup on local compute systems   (407 Jadwin Hall)
10:30 AM --- Coffee Break ---
11:00 AM Version Control with Git and Github - David Luet (Princeton University)   (407 Jadwin Hall)
8:00 AM --- Breakfast ---
8:30 AM Parallel Programming - An introduction to parallel computing with OpenMP - Tim Mattson (Intel)   (407 Jadwin Hall)
10:30 AM Group Photo - Jadwin Hall plaza   ()
10:40 AM --- Coffee Break ---
11:00 AM Parallel Programming - The OpenMP Common Core - Tim Mattson (Intel)   (407 Jadwin Hall)
8:00 AM --- Breakfast ---
8:30 AM Parallel Programming - Working with OpenMP - Tim Mattson (Intel)   (407 Jadwin Hall)
10:30 AM --- Coffee Break ---
11:00 AM Parallel Programming - The world beyond OpenMP - Tim Mattson (Intel)   (407 Jadwin Hall)
8:00 AM --- Breakfast ---
8:30 AM 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 AM --- Coffee Break ---
11:00 AM Introduction to Performance Tuning & Optimization Tools - Ian Cosden (Princeton University)   (407 Jadwin Hall)
PM
12:30 PM --- Lunch ---
1:30 PM Floating Point Arithmetic Is Not Real - Matthieu Lefebvre (Princeton University (US))   (407 Jadwin Hall)
2:15 PM The Use and Abuse of Random Numbers - Daniel Sherman Riley (Cornell University (US))   (407 Jadwin Hall)
3:00 PM --- Coffee Break ---
3:30 PM Functional Programming for Data Analysis - Jim Pivarski (Princeton University)   (407 Jadwin Hall)
5:30 PM --- Welcome Reception ---
12:30 PM --- Lunch ---
1:30 PM Machine Learning Technology - Alexey Svyatkovskiy (Princeton University)   (407 Jadwin Hall)
3:00 PM --- Coffee Break ---
3:30 PM Machine Learning Technology - Alexey Svyatkovskiy (Princeton University)   (407 Jadwin Hall)
4:15 PM Machine Learning for Neutrino Physics (Guest Lecture) - Dr Kazuhiro Terao (SLAC)   (407 Jadwin Hall)
6:30 PM --- Social Mixer - The Nassau Club ---
12:30 PM --- Lunch ---
1:30 PM Machine Learning Methods - Alexey Svyatkovskiy (Princeton University)   (407 Jadwin Hall)
3:00 PM --- Coffee Break ---
3:30 PM Machine Learning Methods - Alexey Svyatkovskiy (Princeton University)   (407 Jadwin Hall)
4:15 PM Parallel Charged Particle Tracking Reconstruction (Guest Lecture) - Peter Wittich (Cornell University (US))   (407 Jadwin Hall)
6:00 PM --- Dinner on your own ---
12:30 PM --- Lunch ---
1:30 PM Language Interoperability - Jim Pivarski (Princeton University)   (407 Jadwin Hall)
3:00 PM --- Coffee Break ---
3:30 PM Afternoon Session   (407 Jadwin Hall)
4:15 PM
Closing Session (until 5:00 PM) (407 Jadwin Hall)
6:30 PM --- School Dinner - Trattoria Procaccini ---