Sixth Computational and Data Science school for HEP (CoDaS-HEP 2024)

from Monday, July 22, 2024 (7:30 AM) to Friday, July 26, 2024 (1:00 PM)
Princeton University (Lewis Library 120)

        : Sessions
    /     : Talks
        : Breaks
Jul 22, 2024
Jul 23, 2024
Jul 24, 2024
Jul 25, 2024
Jul 26, 2024
AM
8:30 AM --- Breakfast ---
9:00 AM Welcome and Overview - Peter Elmer (Princeton University (US))  
9:10 AM Collaborative Software Development with Git(Hub) - Kilian Lieret (Princeton University)  
9:50 AM --- Coffee Break ---
10:20 AM Collaborative Software Development with Git(Hub) (continued) - Kilian Lieret (Princeton University)  
11:00 AM
Things you didn't know you needed - Kilian Lieret (Princeton University) (until 11:05 AM)
11:05 AM Getting connected to our compute platform - Jim Pivarski (Princeton University)  
11:25 AM What Every Computational Physicist Should Know About Computer Architecture - Steven R Lantz (Cornell University (US))  
8:00 AM --- Breakfast ---
8:30 AM Parallel Programming - Working with OpenMP - Tim Mattson (Intel)  
10:30 AM
Group photo (until 10:40 AM)
10:40 AM --- Coffee Break ---
11:00 AM Parallel Programming - The world beyond OpenMP - Tim Mattson (Intel)  
8:00 AM --- Breakfast ---
8:30 AM Floating Point Arithmetic Is Not Real - Tim Mattson (Intel)  
9:30 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 - Steven R Lantz (Cornell University (US))  
11:25 AM Performance Case Study: the mkFit Particle Tracking Code - Steven R Lantz (Cornell University (US))  
11:55 AM Performance Case Study: Charge Clusterization - Louis-Guillaume Gagnon (University of California Berkeley (US))  
8:00 AM --- Breakfast ---
8:30 AM Machine Learning: introduction - Jim Pivarski (Princeton University)  
10:00 AM --- Coffee Break ---
10:30 AM Machine Learning: issues in practice - Jim Pivarski (Princeton University)  
8:30 AM --- Breakfast ---
9:00 AM You are qualified to be teachers! - Sudhir Malik (University of Puerto Rico (US))  
9:10 AM The Use and Abuse of Random Numbers - Andres Rios-Tascon (Princeton University)  
10:05 AM Things you didn't know you needed - Andres Rios-Tascon (Princeton University)  
10:10 AM Machine Learning for Track Reconstruction at the LHC - Louis-Guillaume Gagnon (University of California Berkeley (US))  
10:55 AM --- Coffee Break ---
11:25 AM Closing Session  
PM
12:25 PM Things you didn't know you needed - Steven R Lantz (Cornell University (US))  
12:30 PM --- Lunch ---
1:30 PM Parallel Programming - An introduction to parallel computing with OpenMP - Tim Mattson (Intel)  
3:00 PM Things you didn't know you needed - Tim Mattson (Intel)  
3:05 PM --- Coffee Break ---
3:35 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 - Henry Fredrick Schreiner (Princeton University)  
3:00 PM Things you didn't know you needed - Henry Fredrick Schreiner (Princeton University)  
3:05 PM --- Coffee Break ---
3:35 PM The Scientific Python Ecosystem - Henry Fredrick Schreiner (Princeton University)  
6:30 PM --- BBQ and Drinks - Palmer House ---
12:25 PM Things you didn't know you needed - Louis-Guillaume Gagnon (University of California Berkeley (US))  
12:30 PM --- Lunch ---
1:30 PM Columnar Data Analysis - Ianna Osborne (Princeton University)  
3:00 PM Things you didn't know you needed - Ianna Osborne (Princeton University)  
3:05 PM --- Coffee Break ---
3:35 PM Columnar Data Analysis - Ianna Osborne (Princeton University)  
6:00 PM --- Dinner on your own ---
12:30 PM --- Lunch ---
1:30 PM Machine Learning: challenge exercise - Jim Pivarski (Princeton University)  
3:30 PM --- Coffee Break ---
4:00 PM Machine Learning: survey of architectures - Jim Pivarski (Princeton University)  
5:25 PM Things you didn't know you needed - Jim Pivarski (Princeton University)  
6:00 PM --- School Social Dinner - Frick Atrium and Patio ---