Third Computational and Data Science school for HEP (CoDaS-HEP 2019)

from Monday, July 22, 2019 (8:30 AM) to Friday, July 26, 2019 (1:00 PM)
Princeton University (407 Jadwin Hall)

        : Sessions
    /     : Talks
        : Breaks
Jul 22, 2019
Jul 23, 2019
Jul 24, 2019
Jul 25, 2019
Jul 26, 2019
AM
8:30 AM --- Breakfast ---
9:00 AM Welcome and Overview - Peter Elmer (Princeton University (US))  
9:15 AM Computational and Data Science Challenges - Ian Cosden (Princeton University)  
10:00 AM Setup on local compute systems  
10:30 AM --- Coffee Break ---
11:00 AM Version Control with Git and Github - David Luet (Princeton University)  
8:00 AM --- Breakfast ---
8:30 AM Parallel Programming - Working with OpenMP - Tim Mattson (Intel)  
10:30 AM Group Photo - Jadwin Hall plaza  
10:40 AM --- Coffee Break ---
11:00 AM Parallel Programming - The world beyond OpenMP - Tim Mattson (Intel)  
8:00 AM --- Breakfast ---
8:30 AM The Use and Abuse of Random Numbers - Daniel Sherman Riley (Cornell University (US))  
9:30 AM Floating Point Arithmetic Is Not Real - Bei Wang (Princeton University)  
10:30 AM --- Coffee Break ---
11:00 AM Columnar Data Analysis - Jim Pivarski (Princeton University)  
8:00 AM --- Breakfast ---
8:30 AM Vector Parallelism on Multi-Core Processors - Steven R Lantz (Cornell University (US))  
10:30 AM --- Coffee Break ---
11:00 AM Introduction to Performance Tuning & Optimization Tools - Bei Wang (Princeton University)  
8:30 AM --- Breakfast ---
9:00 AM Machine Learning - Henry Fredrick Schreiner (Princeton University) Savannah Jennifer Thais (Princeton University (US)) Alfredo Canziani (NYU Center for Data Science)  
10:30 AM --- Coffee Break ---
11:00 AM Closing Session  
PM
12:30 PM --- Lunch ---
1:30 PM Parallel Programming - An introduction to parallel computing with OpenMP - Tim Mattson (Intel)  
3:00 PM --- Coffee Break ---
3:30 PM Parallel Programming - The OpenMP Common Core - Tim Mattson (Intel)  
6:00 PM --- Welcome Reception ---
12:30 PM --- Lunch ---
1:30 PM The Scientific Python Ecosystem - Jim Pivarski (Princeton University)  
3:00 PM --- Coffee Break ---
3:30 PM Machine Learning - Alfredo Canziani (NYU Center for Data Science) Savannah Jennifer Thais (Princeton University (US)) Henry Fredrick Schreiner (Princeton University)  
6:30 PM --- Social Mixer - Prospect House ---
12:30 PM --- Lunch ---
1:30 PM Accelerating Python - Jim Pivarski (Princeton University)  
3:00 PM --- Coffee Break ---
3:30 PM Machine Learning - Alfredo Canziani (NYU Center for Data Science) Savannah Jennifer Thais (Princeton University (US)) Henry Fredrick Schreiner (Princeton University)  
6:00 PM --- Dinner on your own ---
12:30 PM --- Lunch ---
1:30 PM Machine Learning - Savannah Jennifer Thais (Princeton University (US)) Alfredo Canziani (NYU Center for Data Science) Henry Fredrick Schreiner (Princeton University)  
3:00 PM --- Coffee Break ---
3:30 PM Collaborative Programming - David Luet (Princeton University)  
4:30 PM Charged Particle Tracking Reconstruction (Guest Lecture) - Slava Krutelyov (Univ. of California San Diego (US))  
6:00 PM --- School Dinner - Despana (235A Nassau Street, corner of Nassau St and Olden) ---