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

from Monday 1 August 2022 (08:30) to Friday 5 August 2022 (13:00)
Princeton University (407 Jadwin Hall)

        : Sessions
    /     : Talks
        : Breaks
1 Aug 2022
2 Aug 2022
3 Aug 2022
4 Aug 2022
5 Aug 2022
AM
08:30 --- Breakfast ---
09:00 Welcome and Overview - Peter Elmer (Princeton University (US))  
09:10 Setup and Collaborative Programming - Kilian Lieret  
10:30 --- Coffee Break ---
11:00 What Every Computational Physicist Should Know About Computer Architecture - Steven R Lantz (Cornell University (US))  
08:00 --- Breakfast ---
08:30 The Use and Abuse of Random Numbers - David Lange (Princeton University (US))  
09:00 Floating Point Arithmetic Is Not Real - Bei Wang (Princeton University)  
10:30 Group Photo - Jadwin Hall plaza  
10:40 --- Coffee Break ---
11:00 Vector Parallelism on Multi-Core Processors (continued) - Steven R Lantz (Cornell University (US))  
11:30 Introduction to Performance Tuning & Optimization Tools - Steven R Lantz (Cornell University (US))  
08:00 --- Breakfast ---
08:30 Machine Learning: Introduction to Graph Neural Networks - Adrian Alan Pol (Princeton University (US)) Savannah Jennifer Thais (Princeton University (US))  
10:00 --- Coffee Break ---
10:30 Machine Learning: Unsupervised Machine Learning, Autoencoders - Savannah Jennifer Thais (Princeton University (US)) Adrian Alan Pol (Princeton University (US))  
08:00 --- Breakfast ---
08:30 Parallel Programming - An introduction to parallel computing with OpenMP - Tim Mattson (Intel)  
10:30 --- Coffee Break ---
11:00 Parallel Programming - The OpenMP Common Core - Tim Mattson (Intel)  
08:30 --- Breakfast ---
09:00 Things you didn't know you needed - Kilian Lieret Henry Fredrick Schreiner (Princeton University)  
09:45 Example Application: Line Segment Tracking - Tres Reid (Cornell University (US))  
10:30 --- Coffee Break ---
11:00 Closing Session  
PM
12:00 Vector Parallelism on Multi-Core Processors - Steven R Lantz (Cornell University (US))  
12:30 --- Lunch ---
13:30 The Scientific Python Ecosystem - Henry Fredrick Schreiner (Princeton University)  
15:00 --- Coffee Break ---
15:30 The Scientific Python Ecosystem - Henry Fredrick Schreiner (Princeton University)  
18:00 --- Welcome Reception ---
12:00 Performance Case Study: the mkFit Particle Tracking Code - Steven R Lantz (Cornell University (US))  
12:30 --- Lunch ---
13:30 Machine Learning: Introduction to Machine Learning, Decision Trees - Savannah Jennifer Thais (Princeton University (US)) Adrian Alan Pol (Princeton University (US))  
15:00 --- Coffee Break ---
15:30 Machine Learning: Introduction to Deep Learning, Convolutional Neural Networks - Savannah Jennifer Thais (Princeton University (US)) Adrian Alan Pol (Princeton University (US))  
18:30 --- Social Mixer - Prospect House ---
12:30 --- Lunch ---
13:30 Columnar Data Analysis - Ioana Ifrim (Princeton University (US)) Jim Pivarski (Princeton University)  
15:00 --- Coffee Break ---
15:30 Columnar Data Analysis - Ioana Ifrim (Princeton University (US)) Jim Pivarski (Princeton University)  
18:00 --- Dinner on your own ---
12:30 --- Lunch ---
13:30 Parallel Programming - Working with OpenMP - Tim Mattson (Intel)  
15:00 --- Coffee Break ---
15:30 Parallel Programming - The world beyond OpenMP - Tim Mattson (Intel)  
18:00 --- School Dinner - Nassau Club ---