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08:30
|
--- Welcome coffee ---
|
|
09:00
|
A word from the IT Department Head
-
Frederic Hemmer
(CERN)
|
|
09:10
|
Introduction to the Inverted CSC
-
Sebastian Lopienski
(CERN)
|
|
09:15
|
A practical approach to Convolutional Neural Networks (lecture)
-
Daniel Hugo Campora Perez
(CERN + University of Seville)
|
|
10:15
|
--- Coffee ---
|
|
10:45
|
A Scientist's Guide to FPGAs
-
Alexander Ruede
(CERN + KIT-IPE)
|
|
11:45
|
Lunch break / WIT Diversity Talk
|
|
|
08:30
|
--- Welcome coffee ---
|
|
09:00
|
Hardware Acceleration Through FPGAs - Basics of VHDL (lecture 2)
- Mr
Giorgio Lopez
(CERN)
|
|
10:00
|
Tensor Networks - Introduction and Matrix Product States (lecture 1)
-
Patrick Emonts
(Max Planck Institute of Quantum Optics)
|
|
11:00
|
--- Coffee ---
|
|
11:15
|
Tensor Networks - The iTEBD Algorithm (lecture 2)
-
Patrick Emonts
(Max Planck Institute of Quantum Optics)
|
|
|
08:30
|
--- Welcome coffee ---
|
|
09:00
|
Tensor Networks - Singular Value Decomposition (exercise 1)
-
Patrick Emonts
(Max Planck Institute of Quantum Optics)
(513/1-024)
|
|
10:00
|
Tensor Networks - Application of the iTEBD Algorithm (exercise 2)
-
Patrick Emonts
(Max Planck Institute of Quantum Optics)
(513/1-024)
|
|
11:00
|
--- Coffee ---
|
|
11:15
|
How container orchestration can strengthen your micro-services: the approach of Kubernetes (lecture)
-
Riccardo Poggi
(University of Geneva)
|
|
|
08:30
|
--- Welcome coffee ---
|
|
09:00
|
Big Data Technologies and Physics Analysis with Apache Spark (exercise 1)
-
Evangelos Motesnitsalis
(CERN)
(513/1-024)
|
|
10:00
|
Big Data Technologies and Physics Analysis with Apache Spark (exercise 2)
-
Evangelos Motesnitsalis
(CERN)
(513/1-024)
|
|
|
13:30
|
Global track finding algorithms
-
Dmitry Neverov
(Nagoya University)
|
|
14:30
|
--- Coffee ---
|
|
15:00
|
Hardware Acceleration Through FPGAs - Basic Concepts (lecture 1)
- Mr
Giorgio Lopez
(CERN)
|
|
16:00
|
A practical approach to Convolutional Neural Networks (exercise 1)
-
Daniel Hugo Campora Perez
(CERN + University of Seville)
(513/1-024)
|
|
17:00
|
A practical approach to Convolutional Neural Networks (exercise 2)
-
Daniel Hugo Campora Perez
(CERN + University of Seville)
(513/1-024)
|
|
|
12:15
|
--- Lunch break ---
|
|
13:30
|
Big Data Technologies and Physics Analysis with Apache Spark (lecture 1)
-
Evangelos Motesnitsalis
(CERN)
|
|
14:30
|
Big Data Technologies and Physics Analysis with Apache Spark (lecture 2)
-
Evangelos Motesnitsalis
(CERN)
|
|
15:30
|
--- Coffee ---
|
|
16:00
|
Hardware Acceleration Through FPGAs - First Experiments in VHDL (exercise 1)
- Mr
Giorgio Lopez
(CERN)
(513/1-024)
|
|
17:00
|
Hardware Acceleration Through FPGAs - Easy DSP Applications (exercise 2)
- Mr
Giorgio Lopez
(CERN)
(513/1-024)
|
|
|
12:15
|
--- Lunch break ---
|
|
13:00
|
Data Centre visit
|
|
14:30
|
Efficient C++ implementation of custom FEM kernel with Eigen
-
Mikhail Sizov
(Budker Institute of Nuclear Physics)
|
|
15:30
|
--- Coffee ---
|
|
16:00
|
How container orchestration can strengthen your micro-services: the approach of Kubernetes (exercise 1)
-
Riccardo Poggi
(University of Geneva)
(513/1-024)
|
|
17:00
|
How container orchestration can strengthen your micro-services: the approach of Kubernetes (exercise 2)
-
Riccardo Poggi
(University of Geneva)
(513/1-024)
|
|
|
