08:30
|
--- Breakfast ---
|
09:00
|
Workshop Welcome and Overview
-
Peter Elmer
(Princeton University (US))
(407 Jadwin Hall)
|
09:15
|
Computational and Data Science Challenges
-
Matthieu Lefebvre
(Princeton University (US))
(407 Jadwin Hall)
|
10:00
|
Setup on local compute systems
(407 Jadwin Hall)
|
10:30
|
--- Coffee Break ---
|
11:00
|
Version Control with Git and Github
-
David Luet
(Princeton University)
(407 Jadwin Hall)
|
|
08:00
|
--- Breakfast ---
|
08:30
|
Parallel Programming - An introduction to parallel computing with OpenMP
-
Tim Mattson
(Intel)
(407 Jadwin Hall)
|
10:30
|
Group Photo - Jadwin Hall plaza
()
|
10:40
|
--- Coffee Break ---
|
11:00
|
Parallel Programming - The OpenMP Common Core
-
Tim Mattson
(Intel)
(407 Jadwin Hall)
|
|
08:00
|
--- Breakfast ---
|
08:30
|
Parallel Programming - Working with OpenMP
-
Tim Mattson
(Intel)
(407 Jadwin Hall)
|
10:30
|
--- Coffee Break ---
|
11:00
|
Parallel Programming - The world beyond OpenMP
-
Tim Mattson
(Intel)
(407 Jadwin Hall)
|
|
08:00
|
--- Breakfast ---
|
08:30
|
Vector Parallelism for Kalman-Filter-Based Particle Tracking on Multi- and Many-Core Processors
-
Steven R Lantz
(Cornell University (US))
Matevz Tadel
(Univ. of California San Diego (US))
(407 Jadwin Hall)
|
10:30
|
--- Coffee Break ---
|
11:00
|
Introduction to Performance Tuning & Optimization Tools
-
Ian Cosden
(Princeton University)
(407 Jadwin Hall)
|
|
12:30
|
--- Lunch ---
|
13:30
|
Floating Point Arithmetic Is Not Real
-
Matthieu Lefebvre
(Princeton University (US))
(407 Jadwin Hall)
|
14:15
|
The Use and Abuse of Random Numbers
-
Daniel Sherman Riley
(Cornell University (US))
(407 Jadwin Hall)
|
15:00
|
--- Coffee Break ---
|
15:30
|
Functional Programming for Data Analysis
-
Jim Pivarski
(Princeton University)
(407 Jadwin Hall)
|
17:30
|
--- Welcome Reception ---
|
|
12:30
|
--- Lunch ---
|
13:30
|
Machine Learning Technology
-
Alexey Svyatkovskiy
(Princeton University)
(407 Jadwin Hall)
|
15:00
|
--- Coffee Break ---
|
15:30
|
Machine Learning Technology
-
Alexey Svyatkovskiy
(Princeton University)
(407 Jadwin Hall)
|
16:15
|
Machine Learning for Neutrino Physics (Guest Lecture)
- Dr
Kazuhiro Terao
(SLAC)
(407 Jadwin Hall)
|
18:30
|
--- Social Mixer - The Nassau Club ---
|
|
12:30
|
--- Lunch ---
|
13:30
|
Machine Learning Methods
-
Alexey Svyatkovskiy
(Princeton University)
(407 Jadwin Hall)
|
15:00
|
--- Coffee Break ---
|
15:30
|
Machine Learning Methods
-
Alexey Svyatkovskiy
(Princeton University)
(407 Jadwin Hall)
|
16:15
|
Parallel Charged Particle Tracking Reconstruction (Guest Lecture)
-
Peter Wittich
(Cornell University (US))
(407 Jadwin Hall)
|
18:00
|
--- Dinner on your own ---
|
|
12:30
|
--- Lunch ---
|
13:30
|
Language Interoperability
-
Jim Pivarski
(Princeton University)
(407 Jadwin Hall)
|
15:00
|
--- Coffee Break ---
|
15:30
|
Afternoon Session
(407 Jadwin Hall)
|
16:15
|
Closing Session
(until 17:00)
(407 Jadwin Hall)
|
18:30
|
--- School Dinner - Trattoria Procaccini ---
|
|