Second Computational and Data Science school for HEP (CoDaS-HEP 2018)

from Monday 23 July 2018 (08:30) to Friday 27 July 2018 (13:00)
Princeton University (407 Jadwin Hall)

        : Sessions
    /     : Talks
        : Breaks
23 Jul 2018
24 Jul 2018
25 Jul 2018
26 Jul 2018
27 Jul 2018
AM
08:30 --- Breakfast ---
09:00 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 - Working with OpenMP - Tim Mattson (Intel)   (407 Jadwin Hall)
10:30 Group Photo - Jadwin Hall plaza   ()
10:40 --- Coffee Break ---
11:00 Parallel Programming - The world beyond OpenMP - Tim Mattson (Intel)   (407 Jadwin Hall)
08:00 --- Breakfast ---
08:30 The Use and Abuse of Random Numbers - Daniel Sherman Riley (Cornell University (US))   (407 Jadwin Hall)
09:30 Floating Point Arithmetic Is Not Real - Matthieu Lefebvre (Princeton University (US))   (407 Jadwin Hall)
10:30 --- Coffee Break ---
11:00 The Scientific Python Ecosystem - Jim Pivarski (Princeton University)   (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))   (407 Jadwin Hall)
10:30 --- Coffee Break ---
11:00 Introduction to Performance Tuning & Optimization Tools - Ian Cosden (Princeton University)   (407 Jadwin Hall)
08:30 --- Breakfast ---
09:00 Machine Learning Topics - Alfredo Canziani (NYU Center for Data Science) Alexey Svyatkovskiy (Princeton University)   (407 Jadwin Hall)
10:30 --- Coffee Break ---
11:00 Closing Session   (407 Jadwin Hall)
PM
12:30 --- Lunch ---
13:30 Parallel Programming - An introduction to parallel computing with OpenMP - Tim Mattson (Intel)   (407 Jadwin Hall)
15:00 --- Coffee Break ---
15:30 Parallel Programming - The OpenMP Common Core - Tim Mattson (Intel)   (407 Jadwin Hall)
17:30 --- Welcome Reception ---
12:30 --- Lunch ---
13:30 Machine Learning - Alfredo Canziani (NYU Center for Data Science) Alexey Svyatkovskiy (Princeton University)   (407 Jadwin Hall)
15:00 --- Coffee Break ---
15:30 Machine Learning - Alexey Svyatkovskiy (Princeton University) Alfredo Canziani (NYU Center for Data Science)   (407 Jadwin Hall)
16:15 Computing for Big Science in the next Decade, plus HEP and Quantum Computing (Guest Lecture) - Elizabeth Sexton-Kennedy (Fermi National Accelerator Lab. (US))   (407 Jadwin Hall)
18:30 --- Social Mixer - Prospect House ---
12:30 --- Lunch ---
13:30 Machine Learning - Alexey Svyatkovskiy (Princeton University) Alfredo Canziani (NYU Center for Data Science)   (407 Jadwin Hall)
15:00 --- Coffee Break ---
15:30 Machine Learning - Alexey Svyatkovskiy (Princeton University) Alfredo Canziani (NYU Center for Data Science)   (407 Jadwin Hall)
16:15 Charged Particle Tracking Reconstruction (Guest Lecture) - Slava Krutelyov (Univ. of California San Diego (US))   (407 Jadwin Hall)
18:00 --- Dinner on your own ---
12:30 --- Lunch ---
13:30 Low-level Python - Jim Pivarski (Princeton University)   (407 Jadwin Hall)
15:00 --- Coffee Break ---
15:30 Afternoon Session - Machine Learning   (407 Jadwin Hall)
16:15 The role of machine learning in extracting the secrets of the Higgs (Guest Lecture) - Heather Gray (LBNL)   (407 Jadwin Hall)
18:00 --- School Dinner - Despana (235A Nassau Street, corner of Nassau St and Olden) ---
12:30 --- Take-Away Lunch ---