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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))
(407 Jadwin Hall)
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09:15
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Computational and Data Science Challenges
-
Matthieu Lefebvre
(Princeton University (US))
(407 Jadwin Hall)
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10:00
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Setup on local compute systems
(407 Jadwin Hall)
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10:30
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--- Coffee Break ---
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11:00
|
Version Control with Git and Github
-
David Luet
(Princeton University)
(407 Jadwin Hall)
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08:00
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--- Breakfast ---
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08:30
|
Parallel Programming - Working with OpenMP
-
Tim Mattson
(Intel)
(407 Jadwin Hall)
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10:30
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Group Photo - Jadwin Hall plaza
()
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10:40
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--- Coffee Break ---
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11:00
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Parallel Programming - The world beyond OpenMP
-
Tim Mattson
(Intel)
(407 Jadwin Hall)
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08:00
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--- Breakfast ---
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08:30
|
The Use and Abuse of Random Numbers
-
Daniel Sherman Riley
(Cornell University (US))
(407 Jadwin Hall)
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09:30
|
Floating Point Arithmetic Is Not Real
-
Matthieu Lefebvre
(Princeton University (US))
(407 Jadwin Hall)
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10:30
|
--- Coffee Break ---
|
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11:00
|
The Scientific Python Ecosystem
-
Jim Pivarski
(Princeton University)
(407 Jadwin Hall)
|
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08:00
|
--- Breakfast ---
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08:30
|
Vector Parallelism for Kalman-Filter-Based Particle Tracking on Multi- and Many-Core Processors
-
Steven R Lantz
(Cornell University (US))
(407 Jadwin Hall)
|
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10:30
|
--- Coffee Break ---
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11:00
|
Introduction to Performance Tuning & Optimization Tools
-
Ian Cosden
(Princeton University)
(407 Jadwin Hall)
|
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08:30
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--- Breakfast ---
|
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09:00
|
Machine Learning Topics
-
Alfredo Canziani
(NYU Center for Data Science)
Alexey Svyatkovskiy
(Princeton University)
(407 Jadwin Hall)
|
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10:30
|
--- Coffee Break ---
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11:00
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Closing Session
(407 Jadwin Hall)
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12:30
|
--- Lunch ---
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13:30
|
Parallel Programming - An introduction to parallel computing with OpenMP
-
Tim Mattson
(Intel)
(407 Jadwin Hall)
|
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15:00
|
--- Coffee Break ---
|
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15:30
|
Parallel Programming - The OpenMP Common Core
-
Tim Mattson
(Intel)
(407 Jadwin Hall)
|
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17:30
|
--- Welcome Reception ---
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12:30
|
--- Lunch ---
|
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13:30
|
Machine Learning
-
Alfredo Canziani
(NYU Center for Data Science)
Alexey Svyatkovskiy
(Princeton University)
(407 Jadwin Hall)
|
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15:00
|
--- Coffee Break ---
|
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15:30
|
Machine Learning
-
Alexey Svyatkovskiy
(Princeton University)
Alfredo Canziani
(NYU Center for Data Science)
(407 Jadwin Hall)
|
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16:15
|
Computing for Big Science in the next Decade, plus HEP and Quantum Computing (Guest Lecture)
-
Elizabeth Sexton-Kennedy
(Fermi National Accelerator Lab. (US))
(407 Jadwin Hall)
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18:30
|
--- Social Mixer - Prospect House ---
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12:30
|
--- Lunch ---
|
|
13:30
|
Machine Learning
-
Alexey Svyatkovskiy
(Princeton University)
Alfredo Canziani
(NYU Center for Data Science)
(407 Jadwin Hall)
|
|
15:00
|
--- Coffee Break ---
|
|
15:30
|
Machine Learning
-
Alexey Svyatkovskiy
(Princeton University)
Alfredo Canziani
(NYU Center for Data Science)
(407 Jadwin Hall)
|
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16:15
|
Charged Particle Tracking Reconstruction (Guest Lecture)
-
Slava Krutelyov
(Univ. of California San Diego (US))
(407 Jadwin Hall)
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18:00
|
--- Dinner on your own ---
|
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12:30
|
--- Lunch ---
|
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13:30
|
Low-level Python
-
Jim Pivarski
(Princeton University)
(407 Jadwin Hall)
|
|
15:00
|
--- Coffee Break ---
|
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15:30
|
Afternoon Session - Machine Learning
(407 Jadwin Hall)
|
|
16:15
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The role of machine learning in extracting the secrets of the Higgs (Guest Lecture)
-
Heather Gray
(LBNL)
(407 Jadwin Hall)
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18:00
|
--- School Dinner - Despana (235A Nassau Street, corner of Nassau St and Olden) ---
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12:30
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--- Take-Away Lunch ---
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