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8:30 AM
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--- Breakfast ---
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9:00 AM
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Welcome and Overview
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Peter Elmer
(Princeton University (US))
(407 Jadwin Hall)
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9:10 AM
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Collaborative Software Development with Git(Hub)
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Kilian Lieret
(Princeton University)
(407 Jadwin Hall)
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10:30 AM
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--- Coffee Break ---
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11:00 AM
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What Every Computational Physicist Should Know About Computer Architecture
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Steven R Lantz
(Cornell University (US))
(407 Jadwin Hall)
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11:45 AM
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Vector Parallelism on Multi-Core Processors
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Steven R Lantz
(Cornell University (US))
(407 Jadwin Hall)
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8:00 AM
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--- Breakfast ---
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8:30 AM
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Parallel Programming - Working with OpenMP
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Tim Mattson
(Intel)
(407 Jadwin Hall)
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10:30 AM
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Group Photo - Jadwin Hall plaza
()
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10:40 AM
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--- Coffee Break ---
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11:00 AM
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Parallel Programming - The world beyond OpenMP
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Tim Mattson
(Intel)
(407 Jadwin Hall)
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8:00 AM
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--- Breakfast ---
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8:30 AM
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Floating Point Arithmetic Is Not Real
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Ianna Osborne
(Princeton University)
(407 Jadwin Hall)
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9:30 AM
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The Use and Abuse of Random Numbers
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David Lange
(Princeton University (US))
(407 Jadwin Hall)
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10:30 AM
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--- Coffee Break ---
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11:00 AM
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Vector Parallelism on Multi-Core Processors (continued)
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Steven R Lantz
(Cornell University (US))
(407 Jadwin Hall)
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11:30 AM
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Introduction to Performance Tuning & Optimization Tools
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Steven R Lantz
(Cornell University (US))
(407 Jadwin Hall)
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8:00 AM
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--- Breakfast ---
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8:30 AM
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Machine Learning: Convolutional Neural Networks and Autoencoders
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Adrian Alan Pol
(Princeton University (US))
Abhijith Gandrakota
(Fermi National Accelerator Lab. (US))
(407 Jadwin Hall)
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10:00 AM
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--- Coffee Break ---
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10:30 AM
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Machine Learning: Permutation Invarience
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Abhijith Gandrakota
(Fermi National Accelerator Lab. (US))
Adrian Alan Pol
(Princeton University (US))
(407 Jadwin Hall)
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8:30 AM
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--- Breakfast ---
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9:00 AM
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Things you didn't know you needed
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Henry Fredrick Schreiner
(Princeton University)
Kilian Lieret
(Princeton University)
(407 Jadwin Hall)
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9:45 AM
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Parallelized Track Reconstruction for the LHC: the mkFit Project
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Steven R Lantz
(Cornell University (US))
(407 Jadwin Hall)
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10:30 AM
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--- Coffee Break ---
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11:00 AM
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Closing Session
(407 Jadwin Hall)
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12:30 PM
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--- Lunch ---
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1:30 PM
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Parallel Programming - An introduction to parallel computing with OpenMP
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Tim Mattson
(Intel)
(407 Jadwin Hall)
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3:00 PM
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--- Coffee Break ---
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3:30 PM
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Parallel Programming - The OpenMP Common Core
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Tim Mattson
(Intel)
(407 Jadwin Hall)
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6:00 PM
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--- Welcome Light Reception ---
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12:30 PM
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--- Lunch ---
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1:30 PM
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The Scientific Python Ecosystem
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Henry Fredrick Schreiner
(Princeton University)
(407 Jadwin Hall)
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3:00 PM
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--- Coffee Break ---
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3:30 PM
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The Scientific Python Ecosystem
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Henry Fredrick Schreiner
(Princeton University)
(407 Jadwin Hall)
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6:30 PM
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--- BBQ and Drinks - Palmer House ---
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12:00 PM
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Performance Case Study: the mkFit Particle Tracking Code
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Steven R Lantz
(Cornell University (US))
(407 Jadwin Hall)
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12:30 PM
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--- Lunch ---
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1:30 PM
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Machine Learning: Introduction to Machine Learning
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Adrian Alan Pol
(Princeton University (US))
Abhijith Gandrakota
(Fermi National Accelerator Lab. (US))
(407 Jadwin Hall)
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3:00 PM
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--- Coffee Break ---
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3:30 PM
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Machine Learning: Supervised Deep Learning
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Adrian Alan Pol
(Princeton University (US))
Abhijith Gandrakota
(Fermi National Accelerator Lab. (US))
(407 Jadwin Hall)
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6:00 PM
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--- Dinner on your own ---
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12:30 PM
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--- Lunch ---
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1:30 PM
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Columnar Data Analysis
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Jim Pivarski
(Princeton University)
Ioana Ifrim
(Princeton University (US))
(407 Jadwin Hall)
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3:00 PM
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--- Coffee Break ---
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3:30 PM
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Columnar Data Analysis
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Ioana Ifrim
(Princeton University (US))
Jim Pivarski
(Princeton University)
(407 Jadwin Hall)
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6:00 PM
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--- School Dinner - Frick Atrium and Patio ---
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