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08:30
|
--- Breakfast ---
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|
09:00
|
Welcome and Overview
-
Peter Elmer
(Princeton University (US))
|
|
09:10
|
Collaborative Software Development with Git(Hub)
-
Kilian Lieret
(Princeton University)
|
|
09:50
|
--- Coffee Break ---
|
|
10:20
|
Collaborative Software Development with Git(Hub) (continued)
-
Kilian Lieret
(Princeton University)
|
|
11:00
|
Things you didn't know you needed
-
Kilian Lieret
(Princeton University)
(until 11:05)
|
|
11:05
|
Getting connected to our compute platform
-
Jim Pivarski
(Princeton University)
|
|
11:25
|
What Every Computational Physicist Should Know About Computer Architecture
-
Steven R Lantz
(Cornell University (US))
|
|
|
08:00
|
--- Breakfast ---
|
|
08:30
|
Parallel Programming - Working with OpenMP
-
Tim Mattson
(Intel)
|
|
10:30
|
Group photo
(until 10:40)
|
|
10:40
|
--- Coffee Break ---
|
|
11:00
|
Parallel Programming - The world beyond OpenMP
-
Tim Mattson
(Intel)
|
|
|
08:00
|
--- Breakfast ---
|
|
08:30
|
Floating Point Arithmetic Is Not Real
-
Tim Mattson
(Intel)
|
|
09:30
|
Vector Parallelism on Multi-Core Processors
-
Steven R Lantz
(Cornell University (US))
|
|
10:30
|
--- Coffee Break ---
|
|
11:00
|
Introduction to Performance Tuning & Optimization Tools
-
Steven R Lantz
(Cornell University (US))
|
|
11:25
|
Performance Case Study: the mkFit Particle Tracking Code
-
Steven R Lantz
(Cornell University (US))
|
|
11:55
|
Performance Case Study: Charge Clusterization
-
Louis-Guillaume Gagnon
(University of California Berkeley (US))
|
|
|
08:00
|
--- Breakfast ---
|
|
08:30
|
Machine Learning: introduction
-
Jim Pivarski
(Princeton University)
|
|
10:00
|
--- Coffee Break ---
|
|
10:30
|
Machine Learning: issues in practice
-
Jim Pivarski
(Princeton University)
|
|
|
08:30
|
--- Breakfast ---
|
|
09:00
|
You are qualified to be teachers!
-
Sudhir Malik
(University of Puerto Rico (US))
|
|
09:10
|
The Use and Abuse of Random Numbers
-
Andres Rios-Tascon
(Princeton University)
|
|
10:05
|
Things you didn't know you needed
-
Andres Rios-Tascon
(Princeton University)
|
|
10:10
|
Machine Learning for Track Reconstruction at the LHC
-
Louis-Guillaume Gagnon
(University of California Berkeley (US))
|
|
10:55
|
--- Coffee Break ---
|
|
11:25
|
Closing Session
|
|
|
12:25
|
Things you didn't know you needed
-
Steven R Lantz
(Cornell University (US))
|
|
12:30
|
--- Lunch ---
|
|
13:30
|
Parallel Programming - An introduction to parallel computing with OpenMP
-
Tim Mattson
(Intel)
|
|
15:00
|
Things you didn't know you needed
-
Tim Mattson
(Intel)
|
|
15:05
|
--- Coffee Break ---
|
|
15:35
|
Parallel Programming - The OpenMP Common Core
-
Tim Mattson
(Intel)
|
|
18:00
|
--- Welcome Reception ---
|
|
|
12:30
|
--- Lunch ---
|
|
13:30
|
The Scientific Python Ecosystem
-
Henry Fredrick Schreiner
(Princeton University)
|
|
15:00
|
Things you didn't know you needed
-
Henry Fredrick Schreiner
(Princeton University)
|
|
15:05
|
--- Coffee Break ---
|
|
15:35
|
The Scientific Python Ecosystem
-
Henry Fredrick Schreiner
(Princeton University)
|
|
18:30
|
--- BBQ and Drinks - Palmer House ---
|
|
|
12:25
|
Things you didn't know you needed
-
Louis-Guillaume Gagnon
(University of California Berkeley (US))
|
|
12:30
|
--- Lunch ---
|
|
13:30
|
Columnar Data Analysis
-
Ianna Osborne
(Princeton University)
|
|
15:00
|
Things you didn't know you needed
-
Ianna Osborne
(Princeton University)
|
|
15:05
|
--- Coffee Break ---
|
|
15:35
|
Columnar Data Analysis
-
Ianna Osborne
(Princeton University)
|
|
18:00
|
--- Dinner on your own ---
|
|
|
12:30
|
--- Lunch ---
|
|
13:30
|
Machine Learning: challenge exercise
-
Jim Pivarski
(Princeton University)
|
|
15:30
|
--- Coffee Break ---
|
|
16:00
|
Machine Learning: survey of architectures
-
Jim Pivarski
(Princeton University)
|
|
17:25
|
Things you didn't know you needed
-
Jim Pivarski
(Princeton University)
|
|
18:00
|
--- School Social Dinner - Frick Atrium and Patio ---
|
|
|
