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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
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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
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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
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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
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The Use and Abuse of Random Numbers
-
Daniel Sherman Riley
(Cornell University (US))
(407 Jadwin Hall)
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09:30
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Floating Point Arithmetic Is Not Real
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Matthieu Lefebvre
(Princeton University (US))
(407 Jadwin Hall)
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10:30
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--- Coffee Break ---
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11:00
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The Scientific Python Ecosystem
-
Jim Pivarski
(Princeton University)
(407 Jadwin Hall)
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08:00
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--- Breakfast ---
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08:30
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Vector Parallelism for Kalman-Filter-Based Particle Tracking on Multi- and Many-Core Processors
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Steven R Lantz
(Cornell University (US))
(407 Jadwin Hall)
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10:30
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--- Coffee Break ---
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11:00
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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
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Machine Learning Topics
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Alfredo Canziani
(NYU Center for Data Science)
Alexey Svyatkovskiy
(Princeton University)
(407 Jadwin Hall)
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10:30
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--- Coffee Break ---
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11:00
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Closing Session
(407 Jadwin Hall)
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12:30
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--- Lunch ---
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13:30
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Parallel Programming - An introduction to parallel computing with OpenMP
-
Tim Mattson
(Intel)
(407 Jadwin Hall)
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15:00
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--- Coffee Break ---
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15:30
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Parallel Programming - The OpenMP Common Core
-
Tim Mattson
(Intel)
(407 Jadwin Hall)
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17:30
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--- Welcome Reception ---
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12:30
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--- Lunch ---
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13:30
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Machine Learning
-
Alfredo Canziani
(NYU Center for Data Science)
Alexey Svyatkovskiy
(Princeton University)
(407 Jadwin Hall)
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15:00
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--- Coffee Break ---
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15:30
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Machine Learning
-
Alexey Svyatkovskiy
(Princeton University)
Alfredo Canziani
(NYU Center for Data Science)
(407 Jadwin Hall)
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16:15
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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
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--- Social Mixer - Prospect House ---
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12:30
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--- Lunch ---
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13:30
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Machine Learning
-
Alexey Svyatkovskiy
(Princeton University)
Alfredo Canziani
(NYU Center for Data Science)
(407 Jadwin Hall)
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15:00
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--- Coffee Break ---
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15:30
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Machine Learning
-
Alexey Svyatkovskiy
(Princeton University)
Alfredo Canziani
(NYU Center for Data Science)
(407 Jadwin Hall)
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16:15
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Charged Particle Tracking Reconstruction (Guest Lecture)
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Slava Krutelyov
(Univ. of California San Diego (US))
(407 Jadwin Hall)
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18:00
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--- Dinner on your own ---
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12:30
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--- Lunch ---
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13:30
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Low-level Python
-
Jim Pivarski
(Princeton University)
(407 Jadwin Hall)
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15:00
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--- Coffee Break ---
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15:30
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Afternoon Session - Machine Learning
(407 Jadwin Hall)
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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
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--- 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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