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08:30
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--- Breakfast ---
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09:00
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Welcome and Overview
-
Peter Elmer
(Princeton University (US))
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09:10
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Collaborative Software Development with Git(Hub)
-
David Lange
(Princeton University (US))
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10:30
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--- Coffee Break ---
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11:00
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Getting connected to our compute platform
-
David Lange
(Princeton University (US))
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11:30
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What Every Computational Physicist Should Know About Computer Architecture
-
David Lange
(Princeton University (US))
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08:30
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--- Breakfast ---
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09:00
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An Introduction to Parallel Programming with OpenMP
-
Tim Mattson
(Intel-Retired)
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11:00
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Group photo
(until 11:10)
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11:10
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--- Coffee Break ---
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11:30
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OpenMP and parallel programming beyond shared memory CPUs
-
Tim Mattson
(Intel-Retired)
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08:30
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--- Breakfast ---
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09:00
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Floating Point Arithmetic Is Not Real
-
Tim Mattson
(Intel)
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10:00
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The Use and Abuse of Random Numbers
-
Tim Mattson
(Human Learning Group)
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11:00
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--- Coffee Break ---
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11:30
|
TBD
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08:30
|
--- Breakfast ---
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09:00
|
Machine Learning - Advanced neural net models
-
Michelle Kuchera
(Davidson College)
Liv Helen Vage
(Princeton University (US))
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10:30
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--- Coffee Break ---
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11:00
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Machine Learning
-
Liv Helen Vage
(Princeton University (US))
Michelle Kuchera
(Davidson College)
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08:30
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--- Breakfast ---
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09:00
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You are qualified to be teachers!
-
Sudhir Malik
(University of Puerto Rico (US))
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09:10
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Machine Learning Wrapup
-
Michelle Kuchera
(Davidson College)
Liv Helen Vage
(Princeton University (US))
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10:10
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TBD
|
|
11:00
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--- Coffee Break ---
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11:30
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Closing Session
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12:30
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--- Lunch ---
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13:30
|
The Scientific Python Ecosystem
-
Ianna Osborne
(Princeton University)
Andres Rios-Tascon
(Princeton University)
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15:30
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--- Coffee Break ---
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16:00
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The Scientific Python Ecosystem
-
Ianna Osborne
(Princeton University)
Andres Rios-Tascon
(Princeton University)
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18:00
|
--- Welcome Reception - D301, Commons (near Briger Hall), Ivy Lane ---
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|
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13:00
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--- Lunch ---
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14:00
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Introduction to Machine Learning
-
Michelle Kuchera
(Davidson College)
Liv Helen Vage
(Princeton University (US))
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|
15:30
|
--- Coffee Break ---
|
|
16:00
|
Machine learning - Neural networks & Kaggle
-
Michelle Kuchera
(Davidson College)
Liv Helen Vage
(Princeton University (US))
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18:30
|
--- Reception - Prospect House ---
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|
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12:15
|
TBD
|
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13:00
|
--- Lunch ---
|
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14:00
|
Columnar Data Analysis
-
Andres Rios-Tascon
(Princeton University)
|
|
15:30
|
--- Coffee Break ---
|
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16:00
|
Columnar Data Analysis
-
Andres Rios-Tascon
(Princeton University)
|
|
19:00
|
--- Dinner on your own ---
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12:00
|
GPU Programming
-
Brij Kishor Jashal
(Rutherford Appleton Laboratory)
|
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13:00
|
--- Lunch ---
|
|
14:00
|
GPU Programming
-
Brij Kishor Jashal
(Rutherford Appleton Laboratory)
|
|
16:00
|
--- Coffee Break ---
|
|
16:30
|
GPU Programming
-
Brij Kishor Jashal
(Rutherford Appleton Laboratory)
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18:30
|
--- BBQ and Drinks - Palmer House ---
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