Name: Third Computational and Data Science school for HEP (CoDaS-HEP 2019)
Start: 2019-07-22T08:30:00-04:00
End: 2019-07-26T13:00:00-04:00
Location: Princeton University

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

from Monday 22 July 2019 (08:30) to Friday 26 July 2019 (13:00)
Princeton University (407 Jadwin Hall)

: Sessions

: Talks

: Breaks

22 Jul 2019

23 Jul 2019

24 Jul 2019

25 Jul 2019

26 Jul 2019

08:30	--- Breakfast ---
09:00	Welcome and Overview - Peter Elmer (Princeton University (US))
09:15	Computational and Data Science Challenges - Ian Cosden (Princeton University) comp_arch_codas_2019.pdf
10:00	Setup on local compute systems
10:30	--- Coffee Break ---
11:00	Version Control with Git and Github - David Luet (Princeton University) git_workshop.pdf

08:00	--- Breakfast ---
08:30	Parallel Programming - Working with OpenMP - Tim Mattson (Intel)
10:30	Group Photo - Jadwin Hall plaza
10:40	--- Coffee Break ---
11:00	Parallel Programming - The world beyond OpenMP - Tim Mattson (Intel)

08:00	--- Breakfast ---
08:30	The Use and Abuse of Random Numbers - Daniel Sherman Riley (Cornell University (US)) Jupyter notebook demonstration programs RandomAbuse2019.pdf
09:30	Floating Point Arithmetic Is Not Real - Bei Wang (Princeton University) FloatingPointArithmetic.pdf
10:30	--- Coffee Break ---
11:00	Columnar Data Analysis - Jim Pivarski (Princeton University) Lectures

08:00	--- Breakfast ---
08:30	Vector Parallelism on Multi-Core Processors - Steven R Lantz (Cornell University (US)) abc.c VectorParallelismMultiCoreProc.pdf
10:30	--- Coffee Break ---
11:00	Introduction to Performance Tuning & Optimization Tools - Bei Wang (Princeton University) PerformanceTools.pdf

08:30	--- Breakfast ---
09:00	Machine Learning - Henry Fredrick Schreiner (Princeton University) Savannah Jennifer Thais (Princeton University (US)) Alfredo Canziani (NYU Center for Data Science)
10:30	--- Coffee Break ---
11:00	Closing Session

12:30	--- Lunch ---
13:30	Parallel Programming - An introduction to parallel computing with OpenMP - Tim Mattson (Intel) GitHub repo
15:00	--- Coffee Break ---
15:30	Parallel Programming - The OpenMP Common Core - Tim Mattson (Intel)
18:00	--- Welcome Reception ---

12:30	--- Lunch ---
13:30	The Scientific Python Ecosystem - Jim Pivarski (Princeton University) Lectures
15:00	--- Coffee Break ---
15:30	Machine Learning - Alfredo Canziani (NYU Center for Data Science) Savannah Jennifer Thais (Princeton University (US)) Henry Fredrick Schreiner (Princeton University) GitHub repo
18:30	--- Social Mixer - Prospect House ---

12:30	--- Lunch ---
13:30	Accelerating Python - Jim Pivarski (Princeton University) Lectures
15:00	--- Coffee Break ---
15:30	Machine Learning - Alfredo Canziani (NYU Center for Data Science) Savannah Jennifer Thais (Princeton University (US)) Henry Fredrick Schreiner (Princeton University)
18:00	--- Dinner on your own ---

12:30	--- Lunch ---
13:30	Machine Learning - Savannah Jennifer Thais (Princeton University (US)) Alfredo Canziani (NYU Center for Data Science) Henry Fredrick Schreiner (Princeton University)
15:00	--- Coffee Break ---
15:30	Collaborative Programming - David Luet (Princeton University) git_collaboratively.pdf
16:30	Charged Particle Tracking Reconstruction (Guest Lecture) - Slava Krutelyov (Univ. of California San Diego (US)) trackingCODAS19.pdf
18:00	--- School Dinner - Despana (235A Nassau Street, corner of Nassau St and Olden) ---

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