Fourth Computational and Data Science school for HEP (CoDaS-HEP 2022)

from Monday, August 1, 2022 (8:30 AM) to Friday, August 5, 2022 (1:00 PM)
Princeton University (407 Jadwin Hall)

        : Sessions
    /     : Talks
        : Breaks
Aug 1, 2022
Aug 2, 2022
Aug 3, 2022
Aug 4, 2022
Aug 5, 2022
AM
8:30 AM --- Breakfast ---
9:00 AM Welcome and Overview - Peter Elmer (Princeton University (US))   (407 Jadwin Hall)
9:10 AM Setup and Collaborative Programming - Kilian Lieret   (407 Jadwin Hall)
10:30 AM --- Coffee Break ---
11:00 AM What Every Computational Physicist Should Know About Computer Architecture - Steven R Lantz (Cornell University (US))   (407 Jadwin Hall)
8:00 AM --- Breakfast ---
8:30 AM The Use and Abuse of Random Numbers - David Lange (Princeton University (US))   (407 Jadwin Hall)
9:00 AM Floating Point Arithmetic Is Not Real - Bei Wang (Princeton University)   (407 Jadwin Hall)
10:30 AM Group Photo - Jadwin Hall plaza   ()
10:40 AM --- Coffee Break ---
11:00 AM Vector Parallelism on Multi-Core Processors (continued) - Steven R Lantz (Cornell University (US))   (407 Jadwin Hall)
11:30 AM Introduction to Performance Tuning & Optimization Tools - Steven R Lantz (Cornell University (US))   (407 Jadwin Hall)
8:00 AM --- Breakfast ---
8:30 AM Machine Learning: Introduction to Graph Neural Networks - Adrian Alan Pol (Princeton University (US)) Savannah Jennifer Thais (Princeton University (US))   (407 Jadwin Hall)
10:00 AM --- Coffee Break ---
10:30 AM Machine Learning: Unsupervised Machine Learning, Autoencoders - Savannah Jennifer Thais (Princeton University (US)) Adrian Alan Pol (Princeton University (US))   (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 --- Coffee Break ---
11:00 AM Parallel Programming - The OpenMP Common Core - Tim Mattson (Intel)   (407 Jadwin Hall)
8:30 AM --- Breakfast ---
9:00 AM Things you didn't know you needed - Kilian Lieret Henry Fredrick Schreiner (Princeton University)   (407 Jadwin Hall)
9:45 AM Example Application: Line Segment Tracking - Tres Reid (Cornell University (US))   (407 Jadwin Hall)
10:30 AM --- Coffee Break ---
11:00 AM Closing Session   (407 Jadwin Hall)
PM
12:00 PM Vector Parallelism on Multi-Core Processors - Steven R Lantz (Cornell University (US))   (407 Jadwin Hall)
12:30 PM --- Lunch ---
1:30 PM The Scientific Python Ecosystem - Henry Fredrick Schreiner (Princeton University)   (407 Jadwin Hall)
3:00 PM --- Coffee Break ---
3:30 PM The Scientific Python Ecosystem - Henry Fredrick Schreiner (Princeton University)   (407 Jadwin Hall)
6:00 PM --- Welcome Reception ---
12:00 PM Performance Case Study: the mkFit Particle Tracking Code - Steven R Lantz (Cornell University (US))   (407 Jadwin Hall)
12:30 PM --- Lunch ---
1:30 PM Machine Learning: Introduction to Machine Learning, Decision Trees - Savannah Jennifer Thais (Princeton University (US)) Adrian Alan Pol (Princeton University (US))   (407 Jadwin Hall)
3:00 PM --- Coffee Break ---
3:30 PM Machine Learning: Introduction to Deep Learning, Convolutional Neural Networks - Savannah Jennifer Thais (Princeton University (US)) Adrian Alan Pol (Princeton University (US))   (407 Jadwin Hall)
6:30 PM --- Social Mixer - Prospect House ---
12:30 PM --- Lunch ---
1:30 PM Columnar Data Analysis - Ioana Ifrim (Princeton University (US)) Jim Pivarski (Princeton University)   (407 Jadwin Hall)
3:00 PM --- Coffee Break ---
3:30 PM Columnar Data Analysis - Ioana Ifrim (Princeton University (US)) Jim Pivarski (Princeton University)   (407 Jadwin Hall)
6:00 PM --- Dinner on your own ---
12:30 PM --- Lunch ---
1:30 PM Parallel Programming - Working with OpenMP - Tim Mattson (Intel)   (407 Jadwin Hall)
3:00 PM --- Coffee Break ---
3:30 PM Parallel Programming - The world beyond OpenMP - Tim Mattson (Intel)   (407 Jadwin Hall)
6:00 PM --- School Dinner - Nassau Club ---